As everyone knows here a large language model using probabilistic next phrase approach will not be able to "diagnose" results from an MRI - at least not with enough confidence. It lacks the patient's history and a snapshot along with very varying datapoints in the training set will lead to "approximate" results. Not what a true doctor with a 360 view of a particular patient's health would be able to diagnose. That 'approximation' will get "better" in time - which only means the results will be replaced by yet another approximation.