Bridging the gaps: Overcoming challenges of implementing AI in healthcare.

Bridging gaps is essential to ensure AI's equitable and effective integration into clinical practice, including explainability, bias & fairness, infrastructure, privacy, security, as well as ethical, regulatory and educational challenges.