Also, this is not how ER doctors work? They are not trained for this, nor does it reflect their day-to-day performance. If they would work like this, perhaps they would know a bit more about the nurse writing down those notes, and the kinds of things that particular nurse is likely to miss or overemphasize - just as an example.

The article gives a neat example: In one case in the Harvard study, a patient presented with a blood clot to the lungs and worsening symptoms. Human doctors thought the anti-coagulants were failing, but the AI noticed something the humans did not: the patient’s history of lupus meant this might be causing the inflammation of the lungs. The AI was proved correct.

Which is nice and all, but in the presence of a blood clot, I can understand that treating inflammation instead is not the first thing on a doctor's mind, what with blood clots being potentially life threatening and all. It raises the question; was this a real-life case, and what happened to that patient? Since this is a case for which the correct diagnosis is known, it was eventually correctly diagnosed - presumably then the patient did not die of a blood clot, nor of an uncontrollable fever.

Also, how representative is a patient with Lupus? According to House, MD, it's never Lupus.