What I want to know is how these systems compare to simple keyword search algorithms. E.g. presumably the person using these systems are medical professionals,

What I want to know is how these systems compare to simple keyword search algorithms. E.g. presumably the person using these systems are medical professionals, typing in some symptoms perhaps gleaming for answers. Theoretically, all these date could be cataloged in a way where you can type in symptoms x y z, demographic information a b c, medical history d e f, and get a confidence score for a potential diagnosis bases on matching these factors to results from past association studies. A system like that I imagine would be easier to feed in true information and importantly would also offer a confidence estimate of the result. It would also be a lot more computationally simpler to run I’d imagine given the compute required to train a machine learning model vs keyword search algorithms you can often run locally across massive datasets.