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This article explores the role of artificial intelligence in modern medicine, with particular emphasis on Clinical Decision Support Systems (CDSS). It examines the application of machine learning, deep learning, and data analytics in medical diagnosis, disease prediction, and treatment planning. The study highlights how AI-based technologies can support healthcare professionals in making accurate, timely, and evidence-based clinical decisions. Furthermore, it discusses the advantages of intelligent medical systems, including improved diagnostic efficiency, personalized healthcare, and reduced medical errors. Special attention is given to challenges related to data security, ethical considerations, and the reliability of AI algorithms. The article concludes that integrating artificial intelligence into clinical practice can contribute to improving healthcare quality, patient safety, and the effectiveness of medical services.
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qizi et al. (2026) studied this question.
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