(©BiancoBlue | Dreamstime.com) In a nutshell When AI doctors had to diagnose through conversations rather than multiple-choice tests, accuracy dropped dramatically, in some cases from 82% to 26%. Those who struggle with basic clinical skills, such as asking follow-up questions and integrating multiple pieces of information, find that AI Tools are not yet ready for [...]
The post Harvard and Stanford University research reveals serious flaws in medical AI systems first appeared on Versa AI hub.
from Blog - Versa AI hub https://versaaihub.com/harvard-and-stanford-university-research-reveals-serious-flaws-in-medical-ai-systems/?utm_source=rss&utm_medium=rss&utm_campaign=harvard-and-stanford-university-research-reveals-serious-flaws-in-medical-ai-systems
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