If health AI continues to be trained using haphazard public data, we are just building a flawed prediction machine
That’s the reason why I think the Healthcare DataNet concept in @OpenLedger is really interesting
They don’t just talk about AI, but about how sensitive medical data can be used without losing privacy
What really makes me think is the idea of a specialized sleep model for doctors and medical personnel
Doctors sleep patterns are clearly different from ordinary people: night shifts, high stress, chaotic biological rhythms
Generic models most likely fail to read such conditions
In my opinion, the future of AI is not large general models, but small vertical models where the data is expensive, specific, and can be monetized directly by the data owner
#OpenLedger
$OPEN $ESPORTS $DRIFT
That’s the reason why I think the Healthcare DataNet concept in @OpenLedger is really interesting
They don’t just talk about AI, but about how sensitive medical data can be used without losing privacy
What really makes me think is the idea of a specialized sleep model for doctors and medical personnel
Doctors sleep patterns are clearly different from ordinary people: night shifts, high stress, chaotic biological rhythms
Generic models most likely fail to read such conditions
In my opinion, the future of AI is not large general models, but small vertical models where the data is expensive, specific, and can be monetized directly by the data owner
#OpenLedger
$OPEN $ESPORTS $DRIFT
