TY  - JOUR
T1  - The future of diagnosis: artificial intelligence and advancing technologies in radiology
TT  - Tanıların geleceği: radyolojide yapay zeka ve gelişen teknolojiler
AU  - Bozer, Ahmet
PY  - 2024
DA  - September
Y2  - 2024
DO  - 10.17826/cumj.1377100
JF  - Cukurova Medical Journal
JO  - Cukurova Med J
PB  - Çukurova Üniversitesi
WT  - DergiPark
SN  - 2602-3032
SP  - 844
EP  - 845
VL  - 49
IS  - 3
LA  - en
AB  - The transformative impact of AI on radiology extends across a broad spectrum from emergency cases to chronic diseases and oncological conditions. The documented successes underscore the critical role of ongoing research in this field, emphasizing its paramount importance in enhancing diagnostic accuracy, saving lives, and providing improved services to healthcare professionals
KW  - Radiology
KW  - Artificial Intelligence
KW  - Diagnosis
KW  - Advanced Technologies
KW  - Healthcare
N2  - Yapay zekanın radyoloji üzerindeki dönüştürücü etkisi, acil vakalardan kronik hastalıklara ve onkolojik durumlara kadar geniş bir yelpazeye yayılmaktadır. Belgelenen başarılar, bu alanda devam eden araştırmaların kritik rolünün altını çizmekte, teşhis doğruluğunu artırma, hayat kurtarma ve sağlık çalışanlarına daha iyi hizmetler sunma konusundaki büyük önemini vurgulamaktadır
CR  - Shen D, Wu G, Suk HI. Deep learning in medical image analysis. Annu Rev Biomed Eng. 2017;19:221-48.
CR  - Driver CN, Bowles BS, Bartholmai BJ, Greenberg-Worisek AJ. Artificial intelligence in radiology: a call for thoughtful application. Clin Transl Sci. 2020;13:216.
CR  - Chassagnon G, Vakalopoulou M, Paragios N, Revel MP. Artificial intelligence applications for thoracic imaging. Eur J Radiol. 2020; 123:108774.
CR  - Lipkova J, Chen RJ, Chen B, Lu MY, Barbieri M, Shao D et al. Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 2022;40:1095-110.
CR  - Couture HD, Williams LA, Geradts J, Nyante SJ, Butler EN, Marron JS et al. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer. 2018;4:30.
CR  - Cellina M, Cè M, Irmici G, Ascenti V, Caloro E, Bianchi L et al. Artificial intelligence in emergency radiology: where are we going? Diagnostics. 2022;12:3223.
CR  - Stahl BC, Antoniou J, Ryan M, Macnish K, Jiya T. Organisational responses to the ethical issues of artificial intelligence. AI Soc. 2022;37:23-37.
CR  - Coughlin S, Roberts D, O’Neill K, Brooks P. Looking to tomorrow’s healthcare today: a participatory health perspective. Intern Med J. 2018;48:92-6.
UR  - https://doi.org/10.17826/cumj.1377100
L1  - https://dergipark.org.tr/tr/download/article-file/3479609
ER  -