Aim & Scope
Journal of Artificial Intelligence in Health Sciences is an national, refereed, scientific journal published three times a year (April, August and December) in Turkish and English. It publishes original research, reviews and case reports on the use of artificial intelligence applications in health sciences.
The aim of our journal is to convey the current developments in the fields of artificial intelligence in health in our country and in the world, to ensure that original studies are shared in the scientific world, and at the same time to create a scientific platform where these developments are discussed with their positive and negative aspects.
The journal aims to contribute to the literature and all disciplines in the field of health by publishing experimental and clinical studies, original research, reviews, case reports and letters to the editor prepared in accordance with ethical rules. The articles to be accepted to the journal will be in the fields of informatics and data analytics, especially artificial intelligence studies and multidisciplinary studies with various health-related science fields such as pharmacy, dentistry, veterinary medicine, nursing, physiotherapy, nutrition, health education, health management, sports health, health economics, etc.
Author Guidelines
Submission Preparation Checklist
As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
- The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Author's Guideline).
- The submission file is in Microsoft Word format.
- Ethics committee approval form for Original Research Articles is included in the application file.
- Title page has been prepared in accordance with the attached example. Click to download.
- The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.
- Copyright Transfer Form has been filled. Click to download.
- ICMJE Disclosure of Potential Conflicts of Interest Form has been filled. Download from this website: Click to download.
- The journal reviewer suggestion form has been filled. Click to download.
AUTHOR GUIDELINES
For article submission to the Journal of Artificial Intelligence in Health Sciences, authors should carefully read the following information, prepare the files in accordance with the format and upload them to the system. Manuscripts that are not prepared in accordance with the format will not be evaluated.
ORCID information of all authors in the article should be specified on the title page.
Articles that do not meet this requirement will not be reviewed. ORCID knowledge acquisition is detailed in the author's responsibilities section.
ORCID ID must be written as a full web address. (e.g. https://orcid.org/0000-0001-6824-4990).
The Journal of Artificial Intelligence in Health Sciences publishes open access and free of charge in line with the Budapest open access policy. No subscription, publication fee or similar payment is required for access to the resources. Articles in this journal can be used as long as the author and original source are cited. No permission is required from the authors or publishers. For detailed information, see: About the Journal.
At the submission process, authors should take the resources such as “Artificial Intelligence: Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers, 2020” and “NPJ Dijital Medicine: Best practices for authors of healthcare-related artificial intelligence manuscripts, 2020” into consideration.
As of 01.08.2021, journal reviewer suggestions are required for submitted articles. The reviewer suggestion form in the submission preparation checklist must be filled out and uploaded to the system along with the submission files.
Articles submitted to the Journal of Artificial Intelligence in Health Sciences are evaluated for their use of GPT.
ARTICLE PREPARATION FOR SUBMISSION
Articles can only be submitted through the journal's online article submission and evaluation system.
Manuscripts submitted to the journal will first go through a technical evaluation process, where the editorial office staff will make sure that the article is prepared and submitted in accordance with the journal's guidelines. Manuscripts that do not comply with the journal's guidelines will be edited.
Articles should be written in Word Times New Roman format, 9 pt for abstract, 10 pt for tables, 12 pt for article text, single spacing (2.5 cm on each side). Abbreviations should be written as SI (standard index). Authors are required to upload the article files in four sections to the system. Details about these are presented below.
1- Ethics Committee Approval/Ethical Statement
If animals are used in the research, the research must be approved by the ethics committee and the relevant document must be uploaded to the system. For researches conducted with information and documents without using animals but by collecting data within the framework of academic and ethical rules, permission or ethical declaration form received from the relevant institutions and organizations must be filled in and uploaded to the system.
To Avoid Potential Conflict of Interest, the International Form of "ICMJE Disclosure of Potential Conflicts of Interest Form" must be filled.
2-Copyright Transfer Form
When submitting a manuscript, authors must send the copyright transfer form in PDF format with original signature to the system.
Plase click here to download the copyright transfer form.
3- Title Page
*At the end of the title page, each author's contribution to the study should be stated separately and in detail.
* The statement of the author responsible for conflict of interest should be stated at the end of the title page.
* If the study is being funded, this information should be shared on the title page.
* If the article has been presented in a congress / symposium before, this detail should be specified as shown on the title page.
The title of the article (Turkish and English), the full name of the authors, addresses, titles and the e-mail address of the corresponding author are written. Authors with different addresses are written with superscript numbers (1, 2, 3 etc.) and the corresponding author is written with an asterisk (*) as below.
Demir Katip*a, Ioannis Nikolakakis b, Amgad Rabie c, Geisa Sorezina Dolci d, Erwin Martinez Faller e
İzmir Katip Çelebi University, Faculty of Medicine Department of Microbiology, İzmir, Turkey
* usucan@gmail.com
4- Main Text
In this section, Turkish and English titles, abstract, keywords and other parts of the article should be prepared in the following order. Tables, figures and graphics should be in the same file. Author name, institution, e-mail information, etc. details should not be included in the main text file. The name and surname of the author, the name of the institution etc. information will not be included. The name of the file will be the same as the article title. Manuscripts that do not meet this requirement will not be reviewed.
• Title (Turkish and English)
• Short Title
• Abstract (Turkish and English)
• Keywords
• Introduction
• Materials and Methods
• Findings/Results
• Discussion
• Conclusion
• Acknowlegement
• References
• Tables
• Graphics
• Figures
If the article needs to include subheadings under main headings such as materials and methods, findings, the font should be in italics and only the first word should start with a capital letter. For example;
Statistical analysis
Materials and methods of the application
Short title: It should be written with 50 letters and placed as a running head.
In original research, each Turkish and English abstracts should not exceed 250 words and should be arranged in separate sections: Purpose, purpose of the study; Materials and Methods, how the study was conducted; Results, main findings which are statistically significant; Conclusion, possible implications. In case reports and reviews, abstracts should be prepared unstructured without subtitles.
Keywords: 5 keywords should be written in Turkish and English. Only the first letter of the first word of keywords should be capitalized.
Introduction: This section should be written with direct references to sufficient knowledge. The hypothesis and purpose should be clearly stated at the end of this section.
Material and Methods: A different section should be added for the description of materials and methods. If more than one method is used, this section should be subdivided. Unless a new and / or modified method is used, only the method should be referenced. The change in a method should be clearly defined.
Results: Findings should be presented as Tables, Figures or Graphics/ Diagrams. The text should mainly include important findings.
Discussion: The results of the study should be discussed with the relevant references directly. This section can also be subdivided.
Conclusion: This section should clearly state the main results of the study. Results should not be repeated.
Acknowledgement: This part of the article should be specified on the title page. Financial or other support can be written. If the study has been presented as an abstract at a conference before, it should be stated in this section.
References: References should be numbered according to the order of use in the text, the numbers should be indicated at the end of the sentence or, if the name of the author is mentioned, in parentheses right after the name. Journal names should be abbreviated as used in Index Medicus. If the number of authors is more than six, after the first three names “et al. (et al.) ”should be written. Manuscripts accepted for publication but still in print can be cited in references using the phrase "in press".
Journal article: Koc AM, Adıbelli ZH, Erkul Z, Sahin Y, Dilek I. Comparison of diagnostic accuracy of ACR-TIRADS, American Thyroid Association (ATA), and EU-TIRADS guidelines in detecting thyroid malignancy. Eur J Radiol. 2020 Dec;133:109390. doi: 10.1016/j.ejrad.2020.109390.
Book: Sadler TW. Langman's Medical Embryology, 5th ed., William and Wilkins, Baltimore, 1985. p.224-226.
Book Chapter: Elmas M, 2009. Fluid Electrolyte treatment, In: Veterinary Drug, Ed; Yazar E, Third edition, Nobel Press, Istanbul, Turkey, pp; 175-197.
Web page: World Health Organization. Drinking water [Internet]. Switzerland: World Health Organization; 2015 Jun [cited 2018 Jul 20]. Available from: http://www.who.int/mediacentre/factsheets/fs391/en/
Thesis: Ho SH. Preventative risk modelling and mapping of Murray Valley encephalitis virus and dengue virus in Western Australia [master’s thesis]. [Perth (AU)]: University of Western Australia; 2015.
Tables: Tables should be presented at the end of the manuscripts, on a different page after the references. Tables should not be transferred from another application (excel, power point, acrobat, etc.) by copying and pasting. Tables should be made with the Create table option in the Word file to be uploaded to the system. Otherwise, there will be shifts in the rows and columns of your tables during typesetting.
Pictures and Figures: Since all figures, photographs, graphics and diagrams are considered as figures, they must be uploaded to the system individually in their original size, 300 dpi resolution (visuals should have contrast and clarity to see color and details) and in JPEG/ TIFF format or in a single piece from PDF must be installed. Figure numbers should be indicated in the text with Arabic numerals (1, 2, 3 ...). Figure texts should be placed in the main text file, right after the references, together with the figure numbers.
ARTICLE TYPES AND FEATURES
Original Research: Research Articles and reviews; They are prospective, retrospective and all kinds of experimental studies. Abstracts should not exceed 250 words and should be structured with the following subheadings: Purpose, Methods, Results and Conclusion. The main text should be structured with the following subheadings: Introduction, Materials and Methods, Results, Discussion, Conclusion. Except for abstract, references, tables and figure legends, the main text should not exceed 3500 words.
Review Paper: Review articles are comprehensive analyzes written by the authors' extensive experience in review and publications. All review articles will also be subject to peer review before acceptance. The abstract should be written unstructured. The author has the privilege of defining the subsections in the article. Subtitles should be written in italics and only the first letter should be capitalized.
Letter to the Editor: This type of article discusses important parts, overlooked aspects, or missing parts of a previously published article. Articles on the subjects within the scope of the journal, which may attract the attention of the readers, and especially on educational cases, can also be presented in the form of "Letter to the Editor". Readers can also present their comments on the published article in the form of a "Letter to the Editor". Abstract, Keywords and Tables, Figures, Pictures and other media should not be included. The text should not be structured. The commented article should be properly quoted in this article.
Case Reports: Case reports are manuscripts that conduct clinical evaluations and scientific research, presenting and discussing characteristics of one or more cases. These are rare articles that differ in diagnosis and treatment. It should be supported by a sufficient number of photographs and diagrams.
Table 1. Limitations for each article type
| Article Type | Word Limit | Abstract Word Limit | Table Limit | Figure Limit |
| Original Research | 3500 | 250(structured) | 5 | 8 |
| Review Paper | 4500 | 250 | - | - |
| Letter to the Editor | 500 | - | - | - |
| Case Reports | 1000 | 200 | No Table | 5 |
REVISIONS
When submitting a revised version of an article, the author should send how each question raised by the critics can be addressed and where to find it (each reviewer's comment followed by the author's response and changes), also an annotated copy of the main document. Revised manuscripts must be submitted within 20 days from the date of the decision letter. If the revised version of the article is not delivered within the given time, the revision option may be canceled. If the sending author(s) believe that additional time is required, they must request this extension before the first 20 days expire.
Accepted manuscripts are edited in terms of grammar, punctuation and format by copying. When the publication process of an article is complete, it is published online on the journal's web page as a prepress publication before being included in its planned issue. A PDF proof of accepted manuscript is sent to the relevant author and publication approval is requested within 3 days of receipt of the proof.
Copyright Notice
When submitting the article, the responsible author must send the Copyright Transfer Form to the system in PDF format.
Click to download.
Privacy Statement
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Ethical Principles and Publication Policy
Open Access Policy
The Journal of Artificial Intelligence in Health Sciences publishes open access and free of charge in line with the Budapest open access policy. Open access is an approach that reinforces interdisciplinary development and encourages cooperation between different disciplines. Therefore, Journal of Artificial Intelligence in Health Sciences contributes to its field by offering more access to its articles and a more transparent review process. Accordingly, the articles published in the journal are available online; It can be freely accessed, read, downloaded, copied, distributed, printed, scanned, linked to full texts, indexed, transferred to the software as data and used for any legal purpose without financial, legal and technical obstacles. Authors are not paid royalty fees. No fee is charged to the authors for article evaluation and publication.
The Journal of Artificial Intelligence in Health Sciences approves the "Creative Commons Attribution License (Attribution-Non Commercial-No Derivatives 4.0 International CC BY)" license for all published articles. Under this license, the parties have the right to reproduce, share and disseminate all published articles, data sets, graphics and annexes in data mining applications, search engines, websites, blogs and all other platforms, provided that they provide the source.
Digital Object Identifier (DOI)
A unique DOI number is assigned to every article published in our journal. A total of three issues published in a year constitute one volume of the journal. As of our first issue, the ORCID ID numbers of the authors are given on the cover page of the article. There is no submission schedule for articles based on a specific volume and issue. Authors can submit their article at any time. Articles whose evaluation process is completed are published by considering the date of acceptance. Articles with a DOI in early view are printed in the following issues, respectively, according to the date of acceptance.
Publication Ethics and Plagiarism Policy
Submission of articles to the journal, correspondence, sending of the articles to the referees and requesting corrections (if any) from the author, then revising by the editor and notifying the authors that they are accepted or rejected for publication are carried out electronically (See Submissions). All articles are checked by editorial offices for similarity or plagiarism.
Our journal complies with the Committee on Publication Ethics (COPE) The International Committee of Medical Journal Editors (ICMJE), World Association Medical Editors (WAME) criteria. Another main principle of the journal is that article evaluation is done quickly and the journal is published in a timely manner.
Editors can act in accordance with COPE rules against allegations and suspicions of plagiarism, citation manipulation and data fraud related to articles submitted to the journal. All Referee Reports are kept for 5 years, allowing them to be audited by the editorial board.
Copyright
Copyright and publication rights of the author(s) on the article(s) are restricted. The author and the reader must obtain permission from the journal for the use of the work that will be subject to financial gain. Corresponding author is requested to sign the Copyright Transfer Form on behalf of all authors and send it in PDF format. Special rights (first publication right and financial rights) of the work belong to the journal. No copyright is paid to the authors for the articles.
In addition to this situation, the author(s);
Patent rights,
All unregistered rights, including copyright,
The right to reproduce and disseminate the work for their own purposes, provided that they do not sell the work,
The right of the author (s) to use all or part of the work in their own books and other academic studies in the future without paying a fee, provided that the source is indicated,
The right to keep the manuscript on personal websites or in the university's open archive, provided that it specifies (including the link to the work published in the journal). Authors reserve their intellectual property rights, such as the ability to publish their work in online environments and / or social networks (personal web pages, course content websites, Researchgate, etc.) by linking to the journal in accordance with the library's rules.
The author (s) of the article has the right to reproduce the article and distribute it by mail or electronic means. The use of any part of the article in another publication is permitted only when a citation is made to the Journal of Artificial Intelligence in Health Sciences. While citing, the Name of the Journal, the Name of the Article, the Name, Surname of the Author (s), Volume Number, Issue Number and Year should be given.
All responsibilities for the articles published in the Journal of Artificial Intelligence in Health Sciences belong to the author.
License Terms
Artificial Intelligence Journal in Health Sciences is licensed with "Creative Commons Attribution License (Attribution-Non-Commercial-Non-Derivative 4.0 International CC BY)".
Creative Commons license, copyrighted work or a variety of public copyright license that can be distributed free of charge. CC license is used when an author asks for the right to use or to share his work.
Under this license, the parties have the right to reproduce, share and disseminate all articles, data sets, graphics and annexes in data mining applications, search engines, websites, blogs and all other platforms, provided that they provide the source.
Open access is an approach that reinforces interdisciplinary development and encourages collaboration between different disciplines. The journal, Artificial Intelligence in Health Sciences, contributes to literature by offering more access to articles and a more transparent review process.
Price Policy
Hiçbir ad altında yazar veya kurumundan ücret alınmaz.
Journal Boards
Editor in Chief
İzmir Katip Çelebi Üniversitesi, Tıp Fakültesi, Radyoloji AD
Assistant Editor
Web
Editors
Doç. Dr.Esra Meltem Koç 2008 yılında Selçuk Üniversitesi Meram Tıp Fakültesi’nden mezun oldu. Ankara Numune Eğitim ve Araştırma Hastanesi’nde Aile Hekimliği ihtisasını, Eskişehir Anadolu Üniversitesi Açık Öğretim Fakültesi’nde Sağlık Kurumları İşletmeciliği ve Adalet Önlisans; İşletme lisans; Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü’nde Sağlık Ekonomisi ve Farmakoekonomi ve İzmir Katip Çelebi Üniversitesi Fen Bilimler Enstitüsü’nde Yazılım Mühendisliği yüksek lisans eğitimlerini tamamladı. Halen İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü’nde Biyomedikal Teknolojileri Doktora ve Sosyal Bilimler Enstitüsü’nde Medya ve İletişim Yüksek Lisans eğitimine devam etmektedir. Kanıta Dayalı Tıp Derneği Yönetim Kurulu Başkanı olan Dr. E. Meltem Koç, ANEAH’de çalıştığı dönemde Türkiye’deki ilk hastane tabanlı Sağlık Teknolojileri Değerlendirme Birimi olan ANHTA’nın yürütmüş olduğu STD çalışmalarında yer almıştır. Dr. Koç, halen Avrasya Sağlık Teknolojileri Değerlendirme Girişimi sekreterlik görevlerini sürdürmektedir. 2015-2016 tarihleri arasında Sağlık Bakanlığı Sağlık Araştırmaları Genel Müdürlüğü Sağlık Teknolojileri Değerlendirme Dairesi’nde çalışan Dr. Koç Şubat 2016’dan beri İzmir Katip Çelebi Üniversitesi Tıp Fakültesi Aile Hekimliği Anabilimdalı’nda öğretim üyesi olarak görev yapmaktadır. 2019-2021 tarihleri arasında İzmir Katip Çelebi Üniversitesi Tıp Fakültesi Dekan Yardımcılığı görevini yürütmüştür. Ayrıca Mayıs 2017’den beri İzmir Katip Çelebi Üniversitesi Sağlık Uygulama ve Araştırma Merkezi müdürlük görevini yürütmektedir.
Aydın Akan, Ocak 1967'de Bursa, Türkiye'de doğdu. 1988 yılında Uludağ Üniversitesi, Bursa'dan Elektronik Mühendisliği alanında lisans derecesi, 1991 yılında İstanbul Teknik Üniversitesi, Elektronik ve Telekomünikasyon Programı'ndan yüksek lisans derecesi ve 1996 yılında ABD, Pittsburgh, Pennsylvania, Pittsburgh Üniversitesi'nden Elektrik Mühendisliği alanında doktora derecesi aldı. 1996-2017 yılları arasında İstanbul Üniversitesi, Elektrik-Elektronik Mühendisliği Bölümü'nde görev yaptı ve 2001 yılında Doçent, 2006 yılında Profesör kadrosuna atandı. Mart 2017 ile Ocak 2020 arasında İzmir Katip Çelebi Üniversitesi, İzmir'de Mühendislik ve Mimarlık Fakültesi Dekanı, BAP Koordinatörü ve Biyomedikal Test ve Kalibrasyon Ar-Ge Merkezi Müdürü olarak görev yaptı. Halen İzmir Ekonomi Üniversitesi Elektrik-Elektronik Mühendisliği Bölümü'nde Bölüm Başkanı olarak görev yaptığı Profesörlük görevini yürütmektedir. Güncel araştırma ilgi alanları arasında durağan olmayan sinyal işleme, zaman-frekans sinyal analizi ve makine öğrenmesi yöntemleri ile bunların kablosuz iletişim ve biyomedikal mühendislik problemlerine uygulamaları yer almaktadır. IEEE Sinyal İşleme (SP) ve Tıp ve Biyoloji Mühendisliği (EMB) Derneklerinin kıdemli üyesi ve Avrupa Sinyal İşleme Derneği (EURASIP), Biyomedikal Görüntü ve Sinyal Analitiği (BISA) Teknik Alan Komitesi üyesidir. Elsevier Dijital Sinyal İşleme, Frankin Open ve Elektronik ve Sinyal İşleme Dergilerinin Yardımcı Editörü olarak görev yapmaktadır.
Statistical Editor
Web
Language Editor
Dr. Cemal Kavasogullari is a UK-based medical doctor and clinician-educator in aesthetic medicine, longevity, and digital health. He directs Esteem Life Medical Group and leads training at Urban Training Academy. Qualifications include MD (Hacettepe), MRCGP (UK), PGCert Aesthetic Medicine (QMUL), PGCert Digital Health Systems (Strathclyde), and an Executive Leadership Certificate (Babson). A global trainer/KOL for Alma Lasers, VIVACY® Stylage, BeautyEurope (Lenisna/Juvelook) and Skinceuticals–L’Oréal, his work spans AI-assisted skin imaging, multi-modal laser parameterisation, and data-driven longevity pathways. He is a regular speaker at IMCAS, ACE and CCR with publications on skin health, lasers and regenerative aesthetics; recent honours include Best Clinic Scotland and Rising Star (Aesthetic Medicine Awards 2025).
Law Editor
Marmara Üniversitesi Hukuk Fakültesi mezunu olan Başak Ozan Özparlak, yüksek lisansını AB Hukuku
alanında, doktorasını Marmara Üniversitesi Hukuk Fakültesi’nde Özel Hukuk Bölümünde tamamlamıştır. 2016 yılından bu yana endüstri ve akademi kesişiminde; başta yapay zeka ve otonom sistemlerinin hukuki etkileri, siber güvenlik hukuku ve 6G kablosuz sistemlerinde mahremiyet ve güvenlik olmak üzere bilişim ve teknoloji hukuku üzerine ulusal ve uluslararası alanda eğitim, danışmanlık, Tübitak ve AB Horizon projelerinde araştırma ve danışmanlık faaliyetlerini yürütmektedir. Bu alanda pek çok ulusal ve uluslararası konferansta sunum yapmış ve çalışmalar yayınlamış olup, “İşyerinde Yapay Zeka Sistemlerinin Kullanılması: Hukuki Bir Değerlendirme” başlıklı bir kitabı bulunmaktadır. 2023 yılına dek avukatlık mesleği ile akademik faaliyetlerini eş zamanlı olarak yürütmüştür. Özyeğin Üniversitesi Hukuk Fakültesi’nde Bilişim Hukuku Ana bilim Dalı’nın kurulması ile birlikte, başkanlığını yürüttüğü bu bölümde tam zamanlı öğretim üyesi ve araştırmacı olarak çalışmalarını sürdürmektedir.
Advisory Board
Öğretim Görevlisi Önder Öztürk, Kütahya Sağlık Bilimleri Üniversitesi'nde, yapay zekânın ruh sağlığı hizmetlerindeki uygulamaları üzerine odaklanan öncü bir akademisyendir. Kendisi, Türkiye'nin demografik ve kültürel verisine göre optimize edilmiş; depresyon, anksiyete, kendine zarar verme ve intihar riski taramalarını bütünleştiren yapay zekâ destekli, yerli bir dijital triyaj platformu geliştirme projesine liderlik etmektedir. Bu yenilikçi proje kapsamında, doğal dil işleme ve makine öğrenmesi yetkinliklerini kullanarak, tarama sonuçlarını dinamik olarak analiz eden "Kompozit Psikolojik Risk İndeksi (KPRI)" gibi özgün karar destek modülleri tasarlamaktadır. Çalışmaları, geliştirdiği sistemlerin ulusal sağlık standartlarına (HL7 FHIR) tam uyumlu olması ve yerel kriz yönlendirme mekanizmalarıyla entegre çalışabilmesi sayesinde, teknolojinin koruyucu ruh sağlığı hizmetlerine entegrasyonu konusunda Türkiye'deki önemli bir boşluğu doldurmayı hedeflemektedir.
Doç.Dr.Leyla TURKER, İstanbul Tıp Fakültesi Öğretim üyesi, Türkiye Yazılımcılar Federasyonu Yapay Zeka Komite Başkanıdır. “Uygulamalı girişimcilik” eğitimini TUSSİDE’den, sağlık işletmeleri yöneticiliği sertifikasını İTÜ’den, “Stratejik teknolojiler ve ürün yönetimi mentorluk” eğitimini TUBİTAK tan, “İnovasyon liderliği” eğitimini Royal Academy of Engineering ten almıştır. İstanbul Üniversitesi İstanbul Tıp Fakültesinde öğretim üyesi, Mentor Derneği başkan yardımcısı, TETFİT Giyilebilir Teknolojiler ve ROTAMETA markalarının CEO’sudur.
Giyilebilir teknolojiler, robotik sistemler ve sanal gerçeklik ile ilgili çalışmaları bulunmaktadır. 2015 yılında Türkiye’de bir ilk olan İstanbul Üniversitesi “3 Boyutlu Tıbbi ve Endüstriyel Tasarım Laboratuvarı”nın ve “TETLAB Fikir Fabrikası”nın kurucusu ve yöneticisidir. 300’ün üzerinde patent başvurusuna, 50nin üzerinde şirket kuruluşuna destek olmuş Dr.Türker’in 24 patent 2 faydalı model başvurusu, 22 uluslararası-ulusal ödülü mevcuttur.
Başlıca Ödülleri
1- Global Intellectual Property Convention “Innovation Leadership Turkiye” 2024,
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3- USİMP Patent Ödülü 2020
4- Bilime Katkı Özel Ödülü Future Healthcare 2019World Intellectual Property Office WIPO Akademik altın madalya 2018
5- Lübnan patent kurumu “creative and excellent invention” ödülü 2018
6- 2018 Yılın Bilim insanı,
7- 2018 yılı girişimci işadamları vakfı proje/fikir ikincilik ödülü 2018,
8- Yılın kadın mucidi ödülü, Türk Patent ve Marka Kurumu 2018,
9- World Intellectual Property Office (WIPO), altın madalya, 2017,
10- Korea Womens Inventors Association, altın madalya, 2017,
11- Iran FIRI The 1th Instute Inventors and researchers “best invention ödülü”, 2017,
12- Taiwan Invention and Innovation Industry Association, “excellent invention” ödülü, 2017,
13- Bilim ve sanat ödülü, İstanbul Üniversitesi, 2017,
11- Güney Kore Kadın Buluşçular Fuarında Türkiye temsiliyeti, Türk Patent ve Marka Kurumu, 2017,
12- Başarı belgesi TC Bilim Sanayi ve Teknoloji Bakanlığı, 2016,
Dr. Akdoğan was born in 1976 in Fatih, Istanbul. He graduated from Pertevniyal High School in 1993. He graduated from Yıldız Technical University, Faculty of Electrical and Electronics, Department of Electronics and Communication Engineering in 1999. He completed his Master's and Doctorate degrees at Marmara University, where he worked as a Research Assistant. During his doctorate studies, he worked on the Design, Production and Artificial Intelligence-based Control of Rehabilitation Robots. Between 2008-2009, he spent postdoctoral research at the Biological Systems Engineering Research Laboratory at Hiroshima University, Japan. In 2010, he started working as a faculty member at the Department of Mechatronics Engineering, Faculty of Mechanical Engineering, Yıldız Technical University. He received the title of Associate Professor in 2015, and Professor in 2020. Under the roof of the Biomechatronics Research Laboratory he founded, he worked on many research projects, scientific publications, undergraduate and graduate thesis advisory in the field of medical mechatronics, and also received many patents, utility models and industrial design registrations. Since he started his academic career in 1999, he has held many administrative positions in the units he has worked. In July 2020, he assumed the Founding Directorship of the Biomechatronics and Robotic Systems Application and Research Center, which was established at Yıldız Technical University to operate with a focus on medical technologies, robotics and artificial intelligence. He provided consultancy for the studies carried out in the Health Technologies vertical at YTÜ Teknopark A.Ş., and ensured the implementation of many initiatives. Between 2020 and 2024, he assumed the Presidency of the Presidency of the Health Institutes of Turkey (TÜSEB), the relevant institution of the Ministry of Health. During this period, he managed the transition process of many medical products, especially TURKOVAC, from idea to product. During his presidency of TÜSEB, he was the executive of the Turkish National Genome and Bioinformatics Project, which was included in the 2021 investment program of the Presidency. He also served as the executive of the establishment project of the Biotechnological Drug and Vaccine Education R&D Center, which made significant contributions to our country's biotechnology ecosystem during the COVID-19 pandemic with the support of the Presidency Strategy Budget Directorate. Married and a father of one child, Dr. Akdoğan currently serves as a faculty member at Yıldız Technical University, Department of Mechatronic Engineering.
Prof. Dr. Esin Öztürk Işık graduated in 1999 with a bachelor’s degree in Computer Engineering from Middle East Technical University. In 2002, she completed her M.S. in Biomedical Engineering at the University of Alabama at Birmingham. She then finished the joint Ph.D. program in Bioengineering conducted by the University of California, Berkeley and the University of California, San Francisco. She pursued her postdoctoral research at the University of California, San Francisco, in the Department of Radiology and Biomedical Imaging.
Since 2014, she has been a faculty member at the Institute of Biomedical Engineering at Boğaziçi University and the director of the Computational Imaging Laboratory. Her research focuses on developing innovative magnetic resonance imaging techniques for the diagnosis, treatment planning, and follow-up of brain tumors and neurological diseases, as well as deep learning–based data analysis. She leads several projects supported by TÜBİTAK, the European Union, the U.S. Department of Defense, and the NIH.
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• Cardiologist, faculty member at Marmara University School of Medicine
• Founder and the director of the Marmara University Hypertension and Atherosclerosis Research Center.
• Founder and the co-ordinator of the multidisciplinary “Digital Medicine Elective Course” for the undergraduate students in Marmara University School of Medicine.
• Vice Editor on AI in Health and Digital Health at Anatolian Journal of Cardiology (2023- current)
Graduated from İstanbul University, Istanbul Medical Faculty in 1987.
He had his fellowships both in Internal Medicine and Cardiology in Marmara University School of Medicine; Istanbul. He worked in the Department of Cardiology in Marmara University School of Medicine between 1995 and 2011.
He was awarded with a training fellowship grant from the European Society of Cardiology in 1999 and he worked in the Division of Cardiology, Centre Hôpital Universitaire Vaudois (CHUV) in Switzerland in 1999-2000, as a fellow in cardiac electrophysiology, cardiac pacemakers and ICDs under the supervision of Prof. Dr. Lukas Kappenberger.
He is the co-founder and currently the director of the Marmara University Hypertension and Atherosclerosis Research Center. This is a multidisciplinary research center on hypertension and related CV diseases where mostly public awareness and preventive projects are run together with other universities and the NGOs. The center has dedicated cardiologists, neurologists, geriatrics, endocrinologists, and research nurses as well. Data scientists and software engineers collaborate in AI based studies in the Centre since 2011.
He is a member of Turkish Medical Association, Turkish Society of Cardiology, European Society of Cardiology, Acute Cardiovascular Care Association. He is among the founders of the “Digital Health Project Group” in the Turkish Society of Cardiology. He is also a member of e-health Working Group of the ESC.
He is amongst the reviewers of the peer reviewed journals like International Journal of Cardiology, ESC Heart Failure, The Anatolian Journal of Cardiology and Archives of Turkish Society of Cardiology. His main interests are hypertension, digital health, artificial intelligence in health, preventive cardiology and clinical cardiac arrhythmias.
He worked as the coordinator of the Internal Medicine Clerkship Program in Marmara University School of Medicine between 2012-2022.
He is also the founder and director of the multidisciplinary “Digital Medicine Elective Course” for the undergraduate students in Marmara University School of Medicine which was launched in 2017, that is the first and only digital medicine program initiative in medical schools in Turkey. He is also amongst the faculty of Digital Health Course in Marmara University Faculty of Engineering.
Dr. Ali Serdar Fak is leading several digital medicine and AI based medial projects focused on diagnosis, prevention and management of cardiovascular diseases and as well patient empowerment and digital health literacy in Marmara University Hypertension and Atherosclerosis Research Center. Turkish Heart Foundation also acts as a partner in some of these projects.
Dr. Ali Serdar Fak also runs tele-medicine supervision for hypertensive and arrhythmia patients with smart devices in his private office since 2014.
PATENT: AI algorithm to predict the presence of heart failure (TR 2022 022035 A2, 2025/04/21, A61B 5/021, A61B 5/256, A61B 5/25, A61B 5/00).
Recently coordinated and accomplished projects are as follows:
• M.U. Students’ Healthy Hearts Project: Partners: Volunteer Students Clubs in Marmara University, Turkish Heart Foundation, Istanbul Kadıköy Municipality and Cyclists Society. Partly sponsored by Marmara University, Istanbul Kadıköy Municipality.
• Prediction of non-dipper blood pressure response by data mining in patients with DM. Partners: M.U. Technology Faculty. Postgraduate thesis, published.
• Web Based Monitoring and Pulse Self-Palpation in Detection of Silent Atrial Fibrillation Episodes in High Risk Patients in Istanbul Nursing Homes (WebsAFIs). Partners: Turkish Heart Foundation and Istanbul Kadıköy Municipality. Unconditionally sponsoredby Pfizer Global, as an investigator-initiated project. Published
• Prediction of atrial fibrillation by AI using Holter ECG and echocardiographic data. Together with Osmangazi University Medical School, Department of Cardiology, manuscript sent for publication.
• Prediction of heart failure by AI using ECG and impedance data. Together with M.U. School of Medicine, Department of Cardiology and Marmara University Faculty of Engineering, postgraduate thesis, published.
• Investigation of theeffects of CV disease on Covid-19 disease severity using data mining. Multidisciplinary study, postgraduate thesis, published.
• Fall detectionandfallpreventionbysmartdevicesand AI in elderlycarecenters. Partners: M.U. School of Medicine, Division of Geriatrics, published.
• Prediction of worsening in heartfailureby AI using data from wearables. Multicenter prospective clinical study, Unconditionally and partly sponsored by Astra Zeneca TR and MEA 2023, patient enrollement completed, data anaylsis being done.
Dr. Varlı started her academic career in 1990 as a Research Assistant in the Department of Computer Engineering at Yıldız Technical University. She was appointed Assistant Professor in 2002 and Associate Professor in 2014. In 2012, she worked as a visiting researcher at the School of Engineering and Design and the School of Physics at Brunel University in the United Kingdom. She became a Full Professor in 2020 and has served in various administrative roles such as Deputy Director of the Institute, Vice Chair of the Department, and Head of Departmental Divisions. Between 2021 and 2024, she served as Vice President of the Health Institutes of Türkiye (TÜSEB) and as the Director of the Türkiye Health Data Research and Artificial Intelligence Applications Institute.
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