Is this because using them is incredibly slow or something else?
My understanding is that the ~4 measurements the system would use as inputs were typically measured by the doctor, and by the time the doctor had collected the data they had simultaneously come up with their own diagnosis. Typing the observations into the computer to get the same level of accuracy (or a few extra percentage points) rarely seemed worth it, and turning the doctor from a diagnostician to a tech was, to put it lightly, not popular with doctors. :P
There are other arguments which would take a long time to go into. One is “but what about X?”, where the linear regression wouldn’t take into account some other variable that the human could take into account, and so the human would want an override option. But, as one might expect, the only way for the regression to outperform the human is for the regression to be right more often than not when the two of them disagree, and humans are unfortunately not very good at determining whether or not the case in front of them is a special case where an override will increase accuracy or a normal case where an override will decrease accuracy. Here’s probably the best place to start if interested in reading more.
My understanding is that the ~4 measurements the system would use as inputs were typically measured by the doctor, and by the time the doctor had collected the data they had simultaneously come up with their own diagnosis. Typing the observations into the computer to get the same level of accuracy (or a few extra percentage points) rarely seemed worth it, and turning the doctor from a diagnostician to a tech was, to put it lightly, not popular with doctors. :P
There are other arguments which would take a long time to go into. One is “but what about X?”, where the linear regression wouldn’t take into account some other variable that the human could take into account, and so the human would want an override option. But, as one might expect, the only way for the regression to outperform the human is for the regression to be right more often than not when the two of them disagree, and humans are unfortunately not very good at determining whether or not the case in front of them is a special case where an override will increase accuracy or a normal case where an override will decrease accuracy. Here’s probably the best place to start if interested in reading more.