that's a horrible idea. careless use of machine learning in medicine is one of the few legitimate "AI safety" cases worthy of concern. ML is far too unreliable and doctors too illiterate for medical imagery diagnostics to be safe without an extremely careful approach.

unfortunately, the cat's out of the bag and what is currently in use in hospitals around the world is far scarier than misuse of diagnostics. GE has irresponsibly deployed a ML based reconstruction method [1], which freed from the onerous constraint of having to be correct, makes much crisper images than classical methods. classical compressed sensing reconstruction methods come with a mathematical guarantee on the fidelity of the reconstruction. GE's approach does not, it's just a supervised method. kid stuff. the FDA, for their part, is also illiterate and rubber-stamped the method after looking at their paper where 9/10 radiologists preferred the ML reconstructed images.

would be remiss to not point out that Ajil Jalal et al. are doing great work on reconstruction guarantees for compressed sensing with learned priors

[1] https://www.gehealthcare.com/products/magnetic-resonance-ima...