Abstract

Artificial Intelligence (AI) has revolutionized various sectors, with healthcare being one of the most significantly impacted. This study explores the implications of AI integration in healthcare, focusing on diagnostic accuracy, treatment efficiency, and patient outcomes. Through a mixed-method approach involving quantitative data from healthcare institutions and qualitative interviews with medical professionals, the study reveals that AI-enhanced systems lead to improved diagnostic precision, reduced treatment times, and overall better patient care. However, it also highlights
challenges such as the need for extensive training and ethical considerations. The findings suggest that while AI presents substantial benefits, a balanced approach addressing potential drawbacks is essential for optimal integration into healthcare systems.