Agentic AI speeds and standardizes detection of immune-related adverse events
A multi-phase Nature Cancer study found that an agentic AI system detected immune-related adverse events in clinical notes with retrospective ...
A multi-phase Nature Cancer study found that an agentic AI system detected immune-related adverse events in clinical notes with retrospective ...
A large multimodal study found that adding ECG measurements and early clinical text to structured electronic health records did not ...
An exploratory analysis of 87 chart reviews found that physicians combined patient-context summaries, medical histories and health-problem overviews with selective ...
Researchers trained AI models on short Spanish first-contact clinical notes and found the algorithms detected suicidal behavior more accurately than ...
A multicenter survey of internal medicine clinicians finds that while nearly all recognize the importance of avoiding stigmatizing language in ...
A natural language processing model trained on clinical notes predicts neurologic outcome in comatose cardiac arrest survivors while exposing hidden ...
Researchers trained a natural language processing model to automatically derive neurological outcome scores for comatose cardiac arrest patients from clinical ...
Researchers at Johns Hopkins All Children's Hospital developed CLASS, a large language model pipeline that extracted pediatric surgical procedure data ...
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© 2025 Scienmag - Science Magazine