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Journals / EUropean Journal of Managerial Research (EUJMR) / 2026 / Cilt: 10 Sayı: 18

ARTİFİCİAL INTELLİGENCE APPLİCATİONS İN HEALTH SCİENCES: NEW APPROACHES İN DİGİTAL HEALTH TRANSFORMATİON

SAĞLIK BİLİMLERİNDE YAPAY ZEKÂ UYGULAMALARI: DİJİTAL SAĞLIK DÖNÜŞÜMÜNDE YENİ YAKLAŞIMLAR

Okan Koç(BALIKESİR ÜNİVERSİTESİ, İVRİNDİ SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU, TIBBİ HİZMETLER VE TEKNİKLER BÖLÜMÜ)0000-0002-5356-5940
Pages
—
Publication Date
2026-10-07
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequently, artificial intelligence is considered a strategic technology that enhances diagnostic accuracy in healthcare systems, supports clinical decision-making processes, and contributes to the development of the digital health ecosystem.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Health systems face multifaceted challenges such as aging populations, the increasing prevalence of chronic diseases, rising healthcare costs, and growing patient demand.
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Key Findings & Data:Artificial intelligence (AI) technologies, through methods such as big data analytics, machine learning, and deep learning, offer significant transformative potential for healthcare services.
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Conclusion & Impact:Consequently, artificial intelligence is considered a strategic technology that enhances diagnostic accuracy in healthcare systems, supports clinical decision-making processes, and contributes to the development of the digital health ecosystem.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zekâ · Sağlık Teknolojileri · Klinik Karar Destek Sistemleri

Abstract

Health systems face multifaceted challenges such as aging populations, the increasing prevalence of chronic diseases, rising healthcare costs, and growing patient demand. These pressures have made digital transformation processes essential for delivering healthcare services in a more efficient, sustainable, and patient-centered manner. Artificial intelligence (AI) technologies, through methods such as big data analytics, machine learning, and deep learning, offer significant transformative potential for healthcare services. This study aims to examine the development of artificial intelligence technologies in health sciences and their primary application areas in healthcare services. Within the scope of the study, the digital transformation process in healthcare and the concept of smart hospitals are first discussed. Subsequently, the conceptual framework of artificial intelligence, its historical development, and its role in healthcare are evaluated. The study further explores the use of artificial intelligence in areas such as medical imaging, clinical decision support systems, disease prediction, and early diagnosis applications. AI-based healthcare technologies such as Koios DS, Caption Care, ExoAI, Sonio, Us2.ai, Qure.ai, and Infervision contribute significantly to improving diagnostic accuracy, accelerating clinical workflows, and enhancing the cost-effectiveness of healthcare services. However, issues such as data security, ethical responsibility, algorithmic bias, and regulatory gaps remain important challenges for the widespread adoption of artificial intelligence applications. Consequently, artificial intelligence is considered a strategic technology that enhances diagnostic accuracy in healthcare systems, supports clinical decision-making processes, and contributes to the development of the digital health ecosystem.

Özet

Sağlık sistemleri, yaşlanan nüfus, kronik hastalıkların artışı, yükselen sağlık maliyetleri ve artan hasta yükü gibi çok boyutlu sorunlarla karşı karşıyadır. Bu durum, sağlık hizmetlerinin daha verimli, sürdürülebilir ve hasta odaklı biçimde sunulabilmesi için dijital dönüşüm süreçlerini zorunlu hale getirmiştir. Yapay zekâ (YZ) teknolojileri, büyük veri analitiği, makine öğrenmesi ve derin öğrenme gibi yöntemler aracılığıyla sağlık hizmetlerinde önemli bir dönüşüm potansiyeli sunmaktadır. Bu çalışma, sağlık bilimlerinde yapay zekâ teknolojilerinin gelişimini ve sağlık hizmetlerindeki temel uygulama alanlarını incelemeyi amaçlamaktadır. Çalışmada öncelikle sağlık hizmetlerinde dijital dönüşüm süreci ve akıllı hastane kavramı ele alınmış, ardından yapay zekânın kuramsal çerçevesi, tarihsel gelişimi ve sağlık alanındaki rolü değerlendirilmiştir. Araştırma kapsamında yapay zekânın özellikle tıbbi görüntüleme, klinik karar destek sistemleri, hastalık tahmini ve erken teşhis uygulamaları gibi alanlardaki kullanım örnekleri incelenmiştir. Koios DS, Caption Care, ExoAI, Sonio, Us2.ai, Qure.ai ve Infervision gibi yapay zekâ tabanlı sağlık teknolojileri, tanı doğruluğunu artırma, klinik iş akışlarını hızlandırma ve sağlık hizmetlerinin maliyet etkinliğini güçlendirme açısından önemli katkılar sunmaktadır. Bununla birlikte veri güvenliği, etik sorumluluk, algoritmik önyargı ve regülasyon eksikliği gibi sorunlar yapay zekâ uygulamalarının yaygınlaşmasında önemli tartışma alanları oluşturmaktadır. Sonuç olarak yapay zekâ, sağlık sistemlerinde tanı doğruluğunu artıran, klinik karar süreçlerini destekleyen ve dijital sağlık ekosisteminin gelişimine katkı sağlayan stratejik bir teknoloji olarak değerlendirilmektedir.

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Cite This Article

Koç, O. (2026). ARTİFİCİAL INTELLİGENCE APPLİCATİONS İN HEALTH SCİENCES: NEW APPROACHES İN DİGİTAL HEALTH TRANSFORMATİON. EUropean Journal of Managerial Research (EUJMR), Cilt: 10 Sayı: 18. https://doi.org/10.62666/eujmr.1919078

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