Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 27,011 to 27,020 of 218,547 articles

Omission and hallucination prevalence of clinical guidelines in diagnostic large language model outputs.

BMJ health & care informatics
OBJECTIVE: Meaningful assessments of how large language models (LLMs) incorporate clinical guidelines require large-scale testing over many queries. Here, we evaluate the prevalence of clinical guideline omissions and hallucinations in a large sample... read more 

AI-generated clinical summaries: errors and susceptibility to speech and speaker variability.

BMJ health & care informatics
OBJECTIVES: To evaluate whether variability in patients' communication style (personality), international English-accents (human and synthetic) and speech impairments affects the accuracy of a Clinical AI Scribe (CAIS) and identify where performance ... read more 

Clinician interaction with a machine learning algorithm for the assessment of patients with possible acute heart failure: a qualitative study.

Emergency medicine journal : EMJ
BACKGROUND: Machine learning (ML) could improve clinical decisions in patients with possible acute heart failure, but few studies have evaluated acceptance, and barriers or facilitators that lead to clinician engagement with these tools. In a qualita... read more 

Preliminary development of a child physical abuse algorithm using emergency department records.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this setting. An urgent need to develop tools that aid providers in recognising violence-related injuries in... read more 

Cell density impacts population activity in human iPSC-derived neural networks.

eNeuro
Multi-electrode recording of neuronal activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Neuronal cultures derived from human induced pluripotent stem cells (iPSCs) from male and female i... read more 

Attack repertoires in outbred male CD1-mice are associated with nucleus accumbens neuroligin-2.

eNeuro
Aggression may be behaviorally distinguished by reactive or appetitive properties. Here, we use a model of operant aggression administration, in which outbred male CD-1 mice lever press (contingent) or do not lever press (non-contingent) to attack an... read more 

Delisting From Clinical Improvement in Liver Cirrhosis: A Machine Learning Decision Tree Analysis.

Transplantation
BACKGROUND: Following therapeutic advancements, recompensation has gained increasing recognition in patients on waitlist for liver transplantation (LT). Identifying key predictors of waitlist removal because of improvement can enhance prognostication... read more 

Herbal extracts as antibiotic adjuvants against ESKAPE pathogens: mechanisms and therapeutic potential.

Engineering microbiology
The escalating crisis of antimicrobial resistance, particularly driven by ESKAPE pathogens, poses a serious threat to global public health. With the stagnant pipeline of novel antibiotic discovery, repurposing herbal extracts as antibiotic adjuvants ... read more 

From fragmented to flawless: A large-scale synthetic micrograph library for benchmarking microstructural image restoration.

Data in brief
The accurate extraction of grain boundaries from metallographic images is a prerequisite for quantitative microstructural analysis, but it is often hindered by experimental artifacts such as noise, etching pits, scratches, and incomplete boundaries. ... read more 

Spatiotemporal evolution and drivers of carbon stock in arid oases: Multi-source assessment and scenario prediction in Wei-Ku oasis, China.

iScience
Accurately assessing carbon stock (CS) in arid oasis ecosystems is vital for the global carbon cycle and regional "dual carbon" goals. This study integrates field surveys, satellite imagery, climate data, machine learning, In VEST model, and the opti... read more