Emotion-focused AI spots early signs of psychosis in youths from short speech samples
Medical Xpress13 Oct · 23:38← Topics · 13 Oct
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Medical Daily13 Oct · 21:28
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As it stood that day
AI diagnostic tools are being evaluated for screening, triage and clinical decision support.
12 reports · 13 Oct
Summary · from headlines6 points
- Interpretable machine learning was used to predict delirium in critically ill patients with cancer.
- TriAlign UDA adapted frozen histopathology foundation-model representations to hybrid domains.
- NTU and IMH researchers used emotion-focused AI to spot early psychosis in youths from short speech samples.
- AI screening expanded access to sight-saving eye care and cut eye-disease diagnosis from 23 days to just 30 seconds.
- Google's AMIE interviewed 98 Boston primary care patients under doctor supervision without a single safety stop.
- An AI model mapped complication risk in Type 1 Diabetes.
Latest developments6 to read first
AI screening helps more people with diabetes access sight-saving eye care
Medical Xpress13 Oct · 22:58AI Model Maps Complication Risk in Type 1 Diabetes
Medscape13 Oct · 22:38Takeaways from an evaluation of Google’s diagnostic chatbot, AMIE
STAT13 Oct · 21:28Realizing the value of the divergence event in clinical human-AI interaction
Nature13 Oct · 21:27Timeline 12 reports
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