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 new open-access paper argues that quantification is a socially constructed mode of governance whose political dimensions must be openly ...
A new open-access framework called BASM maps five maturity tiers for AI-augmented clinical biochemistry, linking analytics, algorithmic governance, and health-service ...
An analysis of over 11,000 Replika conversations found that semantic alignment with an AI companion tracked interaction intensity while syntactic ...
A new framework called SMS-RAG schedules semantic, structural, and episodic memory during reasoning, outperforming existing retrieval-augmented methods on multi-hop QA ...
A new framework combining carbon-intensity forecasting with latency-aware scheduling cut simulated AI workload emissions by 41.6% while keeping critical tasks ...
A single-center study found a large language model exactly matched adjudicated expert severity classifications in 49 percent of 286 hospital ...
A prospective simulation study of 55 neurosurgery trainees found ChatGPT-4 assistance raised decision-making accuracy from 58.0% to 81.0%, with the ...
A training-free workflow uses large language models and explicit action sets to extract standardized synthesis procedures from published text, outperforming ...
A systematic review of 76 studies finds large language models evolving from passive text processors into active cognitive partners for ...
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© 2025 Scienmag - Science Magazine