Clinicians raise concerns over medical AI adoption beyond diagnostics and imaging, citing limited clinical and performance data on its broader effectiveness (Sarah Neville/Financial Times)

Clinicians argue that medical AI is being deployed beyond diagnostics and imaging without sufficient clinical or performance evidence, raising doubts about its broader effectiveness. They cite a lack of robust data on safety, accuracy, and real-world outcomes for non-diagnostic applications, warning that premature adoption could compromise patient care.