That requires the symptoms to be entered correctly, and significant effort from (already overworked) doctors. A fuzzy logic system that can process standard medical notes, as well as medical research papers would be far more useful.
Basically, a quick click, and the paperwork is scanned. If it’s a match for the “bongo dancing virus” or something else obscure, it can flag it up. The doctor can now invest some effort into looking up “bongo dancing virus” to see if it’s a viable match.
It could also do it’s own pattern matching. E.g. if a particular set of symptoms is often followed 18-24 hours later by a sudden cardiac arrest. Flagging this up could be completely false. However, it could key doctors in on something more serious happening, before it gets critical.
An 80% false positive is still quite useful, so long as the 20% helps and the rest is easy for a human to filter.
Couldn’t that just as easily be solved with a database of illnesses which can be filtered by symptoms?
That requires the symptoms to be entered correctly, and significant effort from (already overworked) doctors. A fuzzy logic system that can process standard medical notes, as well as medical research papers would be far more useful.
Basically, a quick click, and the paperwork is scanned. If it’s a match for the “bongo dancing virus” or something else obscure, it can flag it up. The doctor can now invest some effort into looking up “bongo dancing virus” to see if it’s a viable match.
It could also do it’s own pattern matching. E.g. if a particular set of symptoms is often followed 18-24 hours later by a sudden cardiac arrest. Flagging this up could be completely false. However, it could key doctors in on something more serious happening, before it gets critical.
An 80% false positive is still quite useful, so long as the 20% helps and the rest is easy for a human to filter.
In either case, a real doctor would be reviewing the results. Nobody is going to authorize surgeries or prescription meds from AI alone.