A BIOMETRIC ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE IN HEALTH SERVICES

Abstract

Purpose: This study aims to present a bibliometric analysis by examining 487 sources from which Scopus data was obtained between 1995-2024 in the use of artificial intelligence (AI) in healthcare services in Türkiye. It evaluates trends and focused research by determining influential publications, authors, companies and keywords in the literature, and aims to contribute to Turkey's healthcare research system. Method: In the search made with the keywords "artificial intelligence" and "health services" in Scopus, 31,668 results were obtained, and it was reduced to 487 sources by limiting it to Turkey. These sources (316 articles, 61 book chapters, 57 accepted articles, 39 reports, 7 editorials, 4 documents, 3 books) were analyzed with the Woswiver program. Bibliometric analysis was performed on author, citation, keyword, journal and institution data. Findings: In Türkiye, AI-focused health research has intensified in the last 10 years, especially in 2023 (134 publications). While articles (64.9%) stand out in publication types, Pamucar (6 publications) and Kahraman, Yüksel (5 publications each) are the most productive authors. Hacettepe University (29 publications) is the leading institution. Computer science (21%) and medicine (16.9%) are comprehensive fields of study. AI is effective in diagnosis, treatment, preventive health and management, and its usage features with the Covid-19 pandemic. Conclusion: AI plays a transformative role in healthcare in Turkey. However, problems such as infrastructure deficiencies, data security and ethical issues continue. In the future, the durability of AI in healthcare can be increased in a durable and liberal way with the infrastructure investments of the Words, ethical systems and interdisciplinary studies.

Keywords

• : artificial intelligence
• healthcare
• machine learning
• deep learning
• artificial intelligence usage areas in healthcare.

SAĞLIK HİZMETLERİNDE YAPAY ZEKA KULLANIMININ BİBLİYOMETRİK ANALİZİ

Öz

Amaç: Bu çalışma, Türkiye’de sağlık hizmetlerinde yapay zekâ (AI) kullanımına dair 1995-2024 yılları arasında Scopus veri tabanından elde edilen 487 kaynağı inceleyerek bibliyometrik bir analiz sunmayı amaçlamaktadır. Literatürdeki etkili yayınları, yazarları, kurumları ve anahtar kelimeleri belirleyerek alandaki trendleri ve gelecekteki araştırma yönelimlerini değerlendirmek, Türkiye’nin sağlık araştırma ekosistemine katkı sağlamayı hedefler. Yöntem: Scopus’ta “artificial intelligence” ve “health services” anahtar kelimeleriyle yapılan aramada 31.668 sonuç elde edilmiş, Türkiye ile sınırlandırılarak 487 kaynağa indirgenmiştir. Bu kaynaklar (316 makale, 61 kitap bölümü, 57 kabul edilmiş makale, 39 bildiri, 7 editoryal yazı, 4 belge, 3 kitap) Woswiver programı ile analiz edilmiştir. Yazar, atıf, anahtar kelime, dergi ve kurum verileri üzerinden bibliyometrik analiz gerçekleştirilmiştir. Bulgular: Türkiye’de AI odaklı sağlık araştırmaları, özellikle 2023’te (134 yayın) son 10 yılda yoğunlaşmıştır. Makaleler (%64,9) yayın türlerinde öne çıkarken, Pamucar (6 yayın) ve Kahraman, Yüksel (5’er yayın) en üretken yazarlardır. Hacettepe Üniversitesi (29 yayın) lider kurumdur. Bilgisayar bilimi (%21) ve tıp (%16,9) başlıca çalışma alanlarıdır. AI, teşhis, tedavi, koruyucu sağlık ve yönetimde etkili olup, Covid-19 pandemisiyle kullanım artmıştır. Sonuç: AI, Türkiye’de sağlık hizmetlerinde dönüştürücü bir rol oynamaktadır. Ancak, altyapı eksiklikleri, veri güvenliği ve etik sorunlar gibi zorluklar devam etmektedir. Gelecekte, altyapı yatırımları, etik düzenlemeler ve disiplinlerarası çalışmalarla AI’nin sağlık hizmetlerindeki potansiyeli sürdürülebilir ve eşitlikçi bir şekilde artırılabilir.

Anahtar Kelimeler

• yapay zekâ
• sağlık hizmeti
• makine öğrenmesi
• derin öğrenme
• sağlıkta yapay zeka kullanım alanları

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