[D] Is it possible to make a model that will outperform a human, if the model was solely trained on that human's prior predictions?

Say a single radiologist has a ton of images that they have labeled cancer / not cancer. Can we use the labels and those images from just the one radiologist to make a model that will be better at predicting cancer / not cancer than the radiologist?

Intuitively it seems like that would not be possible unless by chance it does better, but ML/DL has a way of being able to extrapolate/generalize patterns and sometimes spot things we missed? Perhaps …

human machinelearning predictions prior