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

Kader Gerçeker; Ramazan Erdem

Makale detayları

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

Yazarlar:

Kader Gerçeker | Ramazan Erdem

Yayıncı:

Izmir Katip Celebi University

Ana Başlıklar:

Sağlıkta Bilgi İşleme | Akıllı Robotik | Bilgi Temsili ve Akıl Yürütme | Bulanık Hesaplama | Doğal Dil İşleme | Sağlık Bilişimi ve Bilişim Sistemleri

Dergi:

Sağlık Bilimlerinde Yapay Zeka Dergisi Vol.5 Issue 2, pp.11-20

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357313

pISSN:

2757-9646

Anahtar kelimeler:

Özet:

 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 Turkeys 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.

 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 Turkeys 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.

 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 Turkeys 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.

 Amaç: Bu çalışma, Türkiyede 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, Türkiyenin sağlık araştırma ekosistemine katkı sağlamayı hedefler. Yöntem: Scopusta 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: Türkiyede AI odaklı sağlık araştırmaları, özellikle 2023te 134 yayın son 10 yılda yoğunlaşmıştır. Makaleler 64,9 yayın türlerinde öne çıkarken, Pamucar 6 yayın ve Kahraman, Yüksel 5er 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, Türkiyede 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 AInin sağlık hizmetlerindeki potansiyeli sürdürülebilir ve eşitlikçi bir şekilde artırılabilir.

Makale detayları

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

Yazarlar:

Kader Gerçeker | Ramazan Erdem

Yayıncı:

Izmir Katip Celebi University

Ana Başlıklar:

Sağlıkta Bilgi İşleme | Akıllı Robotik | Bilgi Temsili ve Akıl Yürütme | Bulanık Hesaplama | Doğal Dil İşleme | Sağlık Bilişimi ve Bilişim Sistemleri

Dergi:

Sağlık Bilimlerinde Yapay Zeka Dergisi Vol.5 Issue 2, pp.11-20

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357313

pISSN:

2757-9646

: artificial intelligence

healthcare

machine learning

deep learning

artificial intelligence usage areas in healthcare.yapay zekâ

sağlık hizmeti

makine öğrenmesi

derin öğrenme

sağlıkta yapay zeka kullanım alanları

Sayı

Makale detayları

Yazarlar: Kader Gerçeker | Ramazan Erdem

Yayıncı: Izmir Katip Celebi University

Ana Başlıklar: Sağlıkta Bilgi İşleme | Akıllı Robotik | Bilgi Temsili ve Akıl Yürütme | Bulanık Hesaplama | Doğal Dil İşleme | Sağlık Bilişimi ve Bilişim Sistemleri

Dergi: Sağlık Bilimlerinde Yapay Zeka Dergisi Vol.5 Issue 2, pp.11-20

Belge Tipi: Makale

Yayın Tarihi: 8/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001357313

pISSN: 2757-9646

Sayı

Yazarlar:

Kader Gerçeker | Ramazan Erdem

Yayıncı:

Izmir Katip Celebi University

Ana Başlıklar:

Sağlıkta Bilgi İşleme | Akıllı Robotik | Bilgi Temsili ve Akıl Yürütme | Bulanık Hesaplama | Doğal Dil İşleme | Sağlık Bilişimi ve Bilişim Sistemleri

Dergi:

Sağlık Bilimlerinde Yapay Zeka Dergisi Vol.5 Issue 2, pp.11-20

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001357313

pISSN:

2757-9646