That issue is only true for legal reasons. And even then it&#x27;s entirely speculation what an actual court would decide.<p>If you actually cared about your patients, then you would use whatever method has the highest accuracy. False predictions mean injury or death. Using a suboptimal method means people die.<p>The best of both worlds is to use the whatever model gets the best predictions. Then train another model which is understandable on the output of the first one. I.e. generate random data, see what predictions the good model makes. Then the understandable model has infinite data to train with and doesn&#x27;t need to worry about overfitting.<p>But still, the utility of being able to understand the model is limited. It&#x27;s just a big set of parameters, without any reasoning or explanation of why the parameters are what they are.