The hidden dangers of AI confidence scores in healthcare

As healthcare AI adoption accelerates, organizations must balance innovation with safety. Confidence scores, often used to gauge AI reliability, can unintentionally create risks like automation bias and false security.

In a recent MedCity News article, Arcadia’s VP of Product Management, Brendan Smith-Elion, examines the limitations of confidence scores and shares alternative strategies — such as localized data and thoughtful design — to empower clinicians and ensure trustworthy AI in healthcare.