ARTIFICIAL INTELLIGENCE APPLICATIONS IN HEALTHCARE DIAGNOSTICS: OPPORTUNITIES AND CHALLENGES
Keywords:
Artificial intelligence, healthcare diagnostics, medical imaging, machine learning, health technologyAbstract
Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, particularly in the field of medical diagnostics. AI-driven systems are increasingly used for disease detection, medical imaging analysis, clinical decision support, and predictive analytics. This study explores the applications of artificial intelligence in healthcare diagnostics, highlighting its opportunities and challenges. Using a conceptual and empirical review-based approach, the study examines how AI improves diagnostic accuracy, reduces human error, and enhances healthcare efficiency. At the same time, issues related to data privacy, ethical concerns, algorithm bias, and lack of interpretability pose significant challenges. The findings emphasize the need for balanced integration of AI technologies supported by regulatory frameworks and ethical guidelines.
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