ARTIFICIAL INTELLIGENCE IN CLINICAL APPLICATIONS FOR INFECTIOUS DISEASES: DIAGNOSIS, TREATMENT AND IMMUNIZATION

Year 2024, , 95 - 106, 14.06.2024

Selda Aslan

https://doi.org/10.46871/eams.1497329

Abstract

Despite scientific and technological advances in recent years, infectious diseases continue to pose a significant threat to public health. These diseases can cause serious health problems as they have the potential to spread rapidly. In addition, they occur in the form of epidemics and affect populations. The difficulty of rapid and accurate diagnosis and increasing antimicrobial resistance create difficulties in the treatment of infectious diseases. Artificial intelligence technology has developed useful applications in many areas such as the development of diagnosis and treatment methods, anti-infective drug and vaccine discovery, and prevention of increasing anti-infective drug resistance. In particular, AI-assisted clinical decision support systems can help predict disease outbreaks, support diagnosis of diseases, optimise treatment options and monitor epidemiological trends by analysing large datasets. It can also provide more accurate and faster results in analysing diagnostic images and identifying diseases. Advances in this field need to be supported by multidisciplinary studies and a strong ethical framework. In this review, we outline approaches to the application and use of artificial intelligence in infectious diseases, highlight the progress supported by artificial intelligence, and discuss how it can be used. We outline the applications and benefits of AI in infectious diseases. In this way, more effective intervention strategies can be developed to control infectious diseases and protect public health.

Keywords

Artificial intelligence, machine learning, infectious diseases

Supporting Institution

Finansal Destek: Bu çalışma herhangi bir fon tarafından desteklenmemiştir

BULAŞICI HASTALIKLARA YÖNELİK KLİNİK UYGULAMALARDA YAPAY ZEKA: TEŞHİS, TEDAVİ VE BAĞIŞIKLAMA

Abstract

Son yıllardaki bilimsel ve teknolojik gelişmeler rağmen, bulaşıcı hastalıklar halk sağlığı için önemli bir tehdit oluşturmaya devam etmektedir. Bu hastalıklar, hızla yayılabilme potansiyeline sahip oldukları için ciddi sağlık sorunlarına yol açabilirler. Ayrıca, salgınlar şeklinde ortaya çıkarak toplumları etkiler. Hızlı ve doğru tanı koyma zorluğu ve giderek artan antimikrobiyal direnç, enfeksiyon hastalıklarının tedavisinde zorluklar yaratmaktadır. Yapay zeka teknolojisi, teşhis ve tedavi yöntemlerinin geliştirilmesi, anti-enfektif ilaç ve aşı keşfi, artan anti-enfektif ilaçlar direncinin önlenmesi gibi birçok alanda faydalı uygulamalar geliştirmiştir. Özellikle, yapay zeka destekli klinik karar destek sistemleri, büyük veri kümelerini analiz ederek hastalık salgınlarını tahmin etme, hastalıkların teşhisini destekleme, tedavi seçeneklerini optimize etme ve epidemiyolojik trendleri izleme konularında yardımcı olabilir. Ayrıca, tanısal görüntülerin analizinde ve hastalıkların belirlenmesinde daha doğru ve hızlı sonuçlar elde edilmesini sağlayabilir. Bu alandaki ilerlemelerin, multidisipliner çalışmalar ve güçlü bir etik çerçeve ile desteklenmesi gerekmektedir. Bu derlemede, bulaşıcı hastalıklarda yapay zeka uygulamaları ve kullanımına yönelik yaklaşımları belirtiyor, yapay zeka ile desteklenen ilerlemeyi gözler önüne sermeyi ve nasıl kullanılabileceğini tartışıyoruz. Bulaşıcı hastalıklarda yapay zekanın uygulamaları ve yararlarını belirtiyoruz. Bu sayede, daha etkili müdahale stratejileri geliştirilerek bulaşıcı hastalıkların kontrol altına alınması ve halk sağlığının korunması sağlanabilir.

Keywords

Yapay zeka, makine öğrenimi, enfeksiyon hastalıkları

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