Tag: Artificial Intelligence

NIEHS researchers have developed Discourse2Draft, a model-agnostic AI application that converts a user query into a structured, citation-anchored draft using ...

A student-led study at an osteopathic medical college found that three paid AI platforms varied widely in reference quality and ...

A new Frontiers in Space Technologies editorial collection argues that healthcare for deep-space missions must be fundamentally redesigned as an ...

A retrospective editorial by outgoing Editor-in-Chief Jae Sung Lee recounts Biomedical Engineering Letters' 2021 SCIE indexing, its Topic Editor system, ...

A 10-week AI and generative AI-assisted blended learning course was associated with higher AI literacy and more favorable attitudes toward ...

A qualitative study of twenty ambulatory patients at an academic medical center found that ambient AI scribes were associated with ...

An editorial in Frontiers in Medicine argues that the vast majority of clinical machine-learning models never reach patients, with fewer ...

A study of Chinese listed companies from 2014 to 2024 links AI adoption to greater corporate innovation through higher R&D ...

A review in the Journal of Systematics and Evolution defines the standards for high-quality genome assembly and annotation, outlines obstacles ...

A quality improvement study of 902 clinicians and more than 1.6 million encounters in the Beth Israel Lahey Health system ...

A new review argues that virtual screening and AI-driven modeling have expanded the search for anti-tuberculosis drugs, but persistent mismatches ...

Artificial intelligence is no longer a distant prospect for public health agencies; it is already reshaping how officials detect outbreaks, ...

Gladstone investigator Christina Theodoris will receive the American Society for Clinical Investigation's 2026 Seldin-Smith Award for Pioneering Research for developing ...

A review proposes a framework for using AI and nondestructive sensing to screen sensory-related traits across large legume breeding populations, ...

Researchers report a test-time fine-tuning approach that adapts large-scale vision foundation models to segment electronic waste, cutting end-to-end processing time ...

A legal analysis of online medical consultation in Beijing finds that rapid growth, diversified platforms, and AI integration have outpaced ...

A qualitative study of 20 administrative staff at a Turkish training and research hospital found that AI literacy remains largely ...

A PLOS Medicine editorial argues that precision oncology's greatest opportunity in breast cancer may be identifying patients who can safely ...

A mixed-method study combining a bibliometric review of 2,015 publications with interviews of 10 developers and 10 users finds that ...

A new neuro-symbolic framework pairs context-aware particle filtering with differentiable program synthesis to infer latent cognitive states, lifting joint belief-action ...