Latest AI and machine learning research in medicolegal for healthcare professionals.
Objective: To develop and evaluate a framework for characterizing clinician editing of Artificial In...
Environmental reconnaissance needs mobile platforms that carry sensors, preserve measurement context...
Background: Temporomandibular disorders (TMDs) and orofacial pain (OFP) conditions affect approximat...
Sex differences in Alzheimer's disease (AD) genetic effects and regulatory contexts remain incomplet...
Pigment deposition in paper marbling displaces the pattern already present, coupling the appearance ...
Documentation burden remains a persistent challenge in nursing practice, and Ambient artificial inte...
Drug development projects are getting increasingly more expensive while their success rate is stagna...
Electrolyte additive discovery remains challenging because experimentally validated molecules are sp...
Introduction: C3 glomerulopathy (C3G) is driven by fluid-phase alternative complement pathway dysreg...
Routine childhood growth surveillance is a cornerstone of pediatric care. Growth pattern abnormaliti...
Background: The Centiloid (CL) scale standardizes global amyloid PET quantification and is widely us...
Healthcare documentation in the neonatal intensive care unit (NICU) presents significant challenges,...
Background: Large language models (LLMs) have shown increasing capability in medical knowledge tasks...
Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, an...
The VHH-Fc antibody scaffold is an emerging therapeutic modality. No public large-scale, standardize...
Ambient artificial intelligence scribes are being increasingly used in healthcare to improve efficie...
Objectives Safety claims for ambient artificial intelligence (AI) scribes rest on automated judges t...
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digit...
Stigmatizing language in clinical documentation, which conveys negative stereotypes, attitudes, or j...
Thinking with images allows a multimodal model to compensate for limited perception by invoking visu...
Objective: To evaluate decision concordance between commercially available multimodal large language...