Exploring the Potential of Artificial Intelligence in Infectious Disease

Öz

Artificial intelligence (AI) addressed several infectious disease concerns by using its capabilities and acknowledging its constraints, with some adjustments and clarifications. The research focused on important difficulties related to artificial intelligence in infectious diseases. This review advocates for the use of artificial intelligence in infectious disease clinical practice and research. AI categorises article components such as title, abstract, introduction, method, findings, and discussions, which helps scholars save time. This speeds up and improves scientific writing. Some comments may be misleading or inaccurate, putting the accuracy of the research at risk. Current AI systems provide precise and safe responses, but they often lack contextual understanding. The lack of diagnostic technologies in artificial intelligence leads to misidentification and safety risks. Utilising medical technology ethically requires supervision and regulation. Some institutions have prohibited AI research because of its inefficacy. AI may assist physicians by gathering medical data and patient case studies. Identify and control new technologies. ChatGPT and other medical AI models need more data for training.

Anahtar Kelimeler

• Artificial intelligence
• ChatGPT
• Infectious disease

Bulaşıcı Hastalıklarda Yapay Zeka Potansiyelinin Keşfedilmesi

Öz

Yapay zeka (YZ), yeteneklerini kullanarak ve kısıtlamalarını kabul ederek, bazı ayarlamalar ve açıklamalarla çeşitli bulaşıcı hastalık endişelerini ele aldı. Araştırma, bulaşıcı hastalıklarda YZ ile ilgili önemli zorluklara odaklanmıştır. Bu derleme, bulaşıcı hastalıkların klinik uygulamalarında ve araştırmalarında yapay zekânın kullanılmasını savunmaktadır. YZ; başlık, özet, giriş, yöntem, bulgular ve tartışmalar gibi makale bileşenlerini kategorize ederek akademisyenlerin zamandan tasarruf etmesine yardımcı oluyor. Bu da bilimsel yazımı hızlandırır ve geliştirir. Bazı yorumlar yanıltıcı veya yanlış olabilir ve araştırmanın doğruluğunu riske atabilir. Mevcut YZ sistemleri kesin ve güvenli yanıtlar veriyor, ancak genellikle bağlamsal anlayıştan yoksunlar. YZ’ de teşhis teknolojilerinin eksikliği, yanlış tanımlama ve güvenlik risklerine yol açmaktadır. Tıbbi teknolojinin etik olarak kullanılması denetim ve düzenleme gerektirir. Bazı kurumlar, etkisizliği nedeniyleYZ araştırmalarını yasaklamıştır. YZ, tıbbi verileri ve hasta vaka çalışmalarını toplayarak hekimlere yardımcı olabilir. Yeni teknolojileri tanımlayın ve kontrol edin. ChatGPT ve diğer tıbbi YZ modellerinin eğitim için daha fazla veriye ihtiyacı vardır.

Anahtar Kelimeler

• Yapay zeka
• ChatGPT
• Bulaşıcı hastalıklar

Kaynakça

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