Sağlıkta yapay zekâ: Bibliyometrik bir analiz

Yıl 2024, , 277 - 285, 30.06.2024

Tuba Gündüz , Ferhat Eren

https://doi.org/10.52880/sagakaderg.1420580

Öz

Giriş ve Amaç: Yapay zekâ (YZ) veri, bilim ve teknolojinin ilerlemesiyle birlikte her alanda olduğu gibi sağlık alanındaki optimizasyon rolü dikkat çekmiştir. Bu bibliyometrik çalışma, sağlık alanındaki yapay zekâ odaklı araştırmaların ulusal literatürdeki genel durumunu değerlendirmeyi amaçlamaktadır. Gereç ve Yöntem: Bu doğrultuda ‘Türk Medline Ulusal Sağlık Bilimleri Süreli Yayınlar Veri Tabanı’ 13 Aralık 2023 tarihi itibariyle taranmış ve çalışmanın amacına uyan 290 çalışma bibliyometrik analize dahil edilip incelenmiştir. Bulgu ve Sonuç: Elde edilen veriler, sağlık alanındaki araştırmaların belirgin bir artış gösterdiğini ortaya koymaktadır. İncelenen çalışmalar, yabancı literatürde olduğu gibi kardiyoloji, üroloji, kanser ve nöroşirurji gibi uzmanlık alanlarının araştırmaların merkezine yerleştiğini göstermektedir. Ayrıca, hemşirelik ve diş sağlığı alanlarında gerçekleştirilen çalışmaların arttığı, bu sayede geniş bir uzmanlık yelpazesi içinde çeşitlenen araştırmalara tanıklık edildiği gözlemlenmiştir. Ek olarak çalışmaların genellikle çok yazarlı olması, ilgili alanın disiplinler arası özelliğine işaret etmektedir. Bununla birlikte, olgu-vaka-klinik türdeki uygulama odaklı çalışmaların göreceli olarak sınırlı olduğu bir bulgu ortaya çıkmıştır. Yabancı literatürden farklı olarak, etik, yasal ve güvenlik konularına yönelik yapılan çalışmaların neredeyse ihmal edildiği tespit edilmiştir. Bu bibliyometrik analiz, Türkiye'deki yapay zekâ temelli sağlık araştırmalarına geniş bir bakış açısı sunarak, sağlık alanındaki araştırmacılara, profesyonellere ve diğer paydaşlara değerli bir kaynak sağlama potansiyeline sahiptir.

Anahtar Kelimeler

Yapay Zekâ, Sağlık Araştırmaları, Bibliyometrik, Türkiye

Artificial intelligence in health: A bibliometric analysis

Öz

Introduction and Aim: With the advancement of artificial intelligence (AI) data, science and technology, its optimization role in the field of health has attracted attention as in every field. This bibliometric study aims to evaluate the general status of AI-oriented research in the health field in the national literature. Materials and Methods: Accordingly, 'Turkish Medline National Health Sciences Periodicals Database' was searched as of December 13, 2023 and 290 studies that fit the purpose of the study were included in the bibliometric analysis and examined. Findings and Conclusion: The data obtained reveal that there is a significant increase in research in the field of health. The reviewed studies show that specialties such as cardiology, urology, cancer and neurosurgery are at the center of research, as in foreign literature. In addition, it has been observed that the number of studies conducted in the fields of nursing and dental health has increased, thus witnessing diversified research in a wide range of specialties. In addition, the fact that the studies are generally multi-authored points to the interdisciplinary nature of the related field. However, it was also found that case-case-clinical practice-oriented studies were relatively limited. Unlike foreign literature, studies on ethical, legal and safety issues were almost neglected. This bibliometric analysis has the potential to provide a valuable resource to researchers, professionals and other stakeholders in the field of health by providing a broad perspective on AI-based health research in Turkey.

Anahtar Kelimeler

Artificial Intelligence, Health Research, Bibliometric, Turkey

Kaynakça

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