Bridging the gaps: Overcoming challenges of implementing AI in healthcare

Abstract

Artificial intelligence (AI) in healthcare promises transformative advancements, from enhancing diagnostics to optimizing personalized treatments. Realizing its full potential, however, requires addressing key challenges, including explainability, bias & fairness, infrastructure, privacy, security, as well as ethical, regulatory and educational challenges. Bridging these gaps is essential to ensure AI's equitable and effective integration into clinical practice.