ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS: IMPROVING ACCURACY AND REDUCING HEALTHCARE COSTS

Annotasiya

Artificial intelligence (AI) has rapidly become one of the most transformative technologies in modern healthcare systems. AI-powered tools are increasingly used to assist medical professionals in disease diagnosis, patient monitoring, medical imaging analysis, and clinical decision-making. This article explores the impact of artificial intelligence on healthcare diagnosis, particularly its role in improving diagnostic accuracy and reducing healthcare costs compared to traditional medical approaches. The study analyzes current research findings, practical applications, and challenges related to AI implementation in medicine. Evidence suggests that AI systems can detect diseases faster, minimize human error, enhance hospital efficiency, and support early treatment planning. Furthermore, AI contributes to cost reduction by decreasing unnecessary tests, shortening hospitalization periods, and optimizing healthcare resources. Despite these advantages, ethical concerns, data privacy issues, and the need for human supervision remain significant challenges. Overall, AI demonstrates strong potential to revolutionize modern healthcare and improve patient outcomes in the future.