AI in medicine: Hype, hope, and the path forward

Artificial intelligence (AI) is rapidly transforming healthcare, with applications ranging from diagnostics and predictive analytics to administrative automation. AI holds immense potential to enhance clinical efficiency and improve patient outcomes; however, its integration into medical practice is not without challenges. Physicians remain divided; some view AI as a powerful tool for augmenting medical decision-making, while others question its reliability, ethical implications, and impact on the physician-patient relationship. This article examines the promise and limitations of AI in medicine, addressing critical concerns surrounding bias, liability, regulatory uncertainty, and physician adoption. It explores how AI is currently being used in healthcare, the barriers preventing its seamless integration, and the governance structures needed to ensure its responsible deployment.