The Role of Artificial Intelligence and Machine Learning Technologies in Improving Diagnostic Accuracy and Clinical Decision-Making Processes in Modern Healthcare Systems
Abstract
Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming healthcare by enhancing diagnostic accuracy and supporting clinical decision-making processes. This study investigates the effectiveness of AI-driven systems in clinical environments using a comprehensive mixed-methods approach. Quantitative data were collected from 150 healthcare professionals across multiple specialties, while qualitative insights were derived from in-depth clinical case analyses and expert interviews. The findings demonstrate that AI significantly improves diagnostic precision, reduces time-to-diagnosis, and enhances treatment planning. However, concerns regarding data privacy, algorithmic bias, and implementation barriers persist. The study provides strategic recommendations for integrating AI responsibly into healthcare systems.
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Copyright (c) 2024 Fazliddin Arziqulov, Sayfullayeva Dilbar Izzatillayevna, Maxsudov Valijon Gafurjonovich (Author)
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