Having worked in the field, the model that works well is decision support = augmenting an expert with a computer-aided diagnosis. This can work in a couple of ways, but the two classic ones are:
* Following behind the expert to give a second opinion
* Going ahead of experts to screen cases that should be read by an expert
Humans are imperfect and have their sources of unwanted variability. Algorithms may be less variable and reach near-human performance in controlled settings, but are often not flexible enough, not good at incorporating multi-modal patient history, and sometimes fail in spectacularly bad ways.
* Following behind the expert to give a second opinion
* Going ahead of experts to screen cases that should be read by an expert
Humans are imperfect and have their sources of unwanted variability. Algorithms may be less variable and reach near-human performance in controlled settings, but are often not flexible enough, not good at incorporating multi-modal patient history, and sometimes fail in spectacularly bad ways.