Medical AI needs evidence that survives real operating conditions.

The article highlights that medical AI is being adopted across diverse clinical settings, while evidence that it meaningfully improves patient care, provider experience, or health system performance remains limited. Many AI tools show strong technical performance, such as accuracy or sensitivity, but this does not automatically translate into improved clinical outcomes or better workflows in real-world clinical practice. Claims about the value of medical AI must be matched with appropriate evidence demonstrating that the tool supports clinicians in making better decisions, fits into daily workflows, enhance efficiency, complies with local laws and regulations, avoids unintended harm, and most importantl, improves patient outcomes