Using machine learning to support the clinical back end

Dr. Ray Mak, associate professor of radiation oncology at Mass General Brigham, talks about FaceAge, an AI tool that reads cancer patients' facial images to help clinicians assess mortality risk and choose a course of treatment.

Mikhail Golovnya, senior advisory data scientist at Minitab, says that modern AI, although it is now more accessible to non-scientists, is still just a form of machine learning and is not as powerful as some believe.

Peiling Yap, chief scientist at HealthAI, says that many responsible AI projects never move beyond pilot stages because weak governance and a lack of clear regulatory guardrails block safe scaling and widespread adoption.