Tag: Large Language Models

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 ...

A new review maps how large language models are being trained on digitized classical texts, billions of clinical records, and ...

An editorial in Anesthesiology and Perioperative Science proposes a risk-based framework for deploying large language models in perioperative anesthesia, reserving ...

A two-stage AI framework uses a large language model and evolutionary feature selection to halve the symptom set for Traditional ...

A new study shows that structured question metadata can measurably change how AI-generated reading-comprehension hints are worded, though effects on ...

A retrospective study of 292 joint replacement records found that DeepSeek-R1 with a guideline knowledge base significantly improved junior physicians' ...

Researchers built CN-PDS, an LLM-based search system that consolidates and enriches metadata from 148 of China's decentralized public data portals, ...

A scoping review of 24 studies finds generative AI models show task-specific promise in epilepsy text processing but are not ...

A multicenter Chinese study found that a fine-tuned large language model identified autism spectrum disorder in young children from electronic ...

Large language models performed well on written early gastric cancer questions but showed limited and inconsistent ability to recognise the ...

A proof-of-concept ontology framework classifies 25 simulated concrete pouring radio utterances into semantic tags, hazard signals and situation states, with ...