AI Moves From Lab to Front Line of Outbreak Response, WHO Forum Hears
A WHO forum report describes how AI tools for outbreak forecasting, genomic surveillance and decision support are advancing, while experts ...
A WHO forum report describes how AI tools for outbreak forecasting, genomic surveillance and decision support are advancing, while experts ...
A new study finds that rumour stance classification models trained on RumourEval data degrade considerably on a new Irish rumour ...
A prospective questionnaire study found readers rated LLM-structured oncologic CT reports higher than free-text reports on 11 of 12 items, ...
A FLAN-T5 model combining retrieval augmentation and parameter-efficient fine-tuning achieved high-quality structured test-case generation with measurable latency costs.
A multi-agent framework called ZOOM uses summarization and supervised LLM debate to extract stable user values from interaction histories, improving ...
A new survey of 94 studies charts the rise of retrieval-augmented generation in biomedicine and identifies trade-offs among reasoning depth, ...
A new narrative review argues that generative AI simultaneously produces, detects, corrects, and amplifies the consequences of health misinformation across ...
A four-layer multi-agent architecture confines LLM reasoning to an observation-only role and validates every proposal against plant engineering diagrams before ...
A new multi-agent AI system autonomously designs earthquake-resilient fiber-reinforced concrete, cutting expert design cycles by about 75 percent while keeping ...
A perspective paper proposes the LAMPP model, a theory-based framework with four design principles for integrating large language models into ...
A conceptual paper argues that generative AI's text-based interaction paradigm structurally disadvantages deaf signers and proposes a visuo-spatial model for ...
A critical review finds that foundation models are transforming diabetes AI across retinal imaging, glucose monitoring, and clinical text, yet ...
A domain-specialized reasoning model called Impression-R1 matched or outperformed general-purpose AI and participating radiologists on radiological impression generation across 11,884 ...
Researchers developed AMHART, a clinician-informed tool that found chatbot responses covered more guideline-informed criteria for anxiety than depression and for ...
A single-center study found multimodal AI models could draft image-dependent neurosurgery exam questions and grade resident responses with about 90% ...
The European Spallation Source is developing a strategy and pilot projects to apply artificial intelligence and machine learning across its ...
A bibliometric analysis of 861 Scopus-indexed articles traces how computational social science evolved from agent-based modelling to generative artificial intelligence ...
A federated GraphQL platform unified five building data systems at a Danish university, letting an AI model answer real facility ...
A retrospective study of 310 German radiology reports translated with DeepL found most translations rated good or excellent, yet clinically ...
A new Perspective article proposes a clinician-governed framework limiting generative AI to organizing and reviewing pain-assessment information for older adults ...
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