Artificial Intelligence Medical Compendium

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

Showing 18,301 to 18,310 of 214,278 articles

Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-omics.

Computational biology and chemistry
OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of ST-Elevated Myocardial Infarction(STEMI) for Coronary atherosclerotic heart disease(CAD) patients. Hence, it is necessary for the investigation of CH... read more 

Interfacial impedance engineering in ionic hydrogels for integrated enzymatic and electrophysiological sensing.

Biosensors & bioelectronics
Interfacial charge-transfer resistance remains a critical bottleneck in wearable enzymatic biosensors, particularly in soft, deformable systems, where impedance instability limits signal amplification. Here, we introduce an impedance-engineered dual-... read more 

Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.

AEM education and training
OBJECTIVES: The increasing volume of medical education research necessitates efficient, reliable, and scalable methods for conducting quality appraisals. The Medical Education Research Study Quality Instrument (MERSQI) is a widely used tool, although... read more 

Spectral clustering identifies patterns of chiropractic care in a national longitudinal cohort.

JAMIA open
OBJECTIVE: Characterise longitudinal patterns of chiropractic visits for neck pain or low back pain by using machine learning (ML) methods and explainable models. DATA AND METHODS: Using de-identified claims data from 2016 to 2023 for adults from the... read more 

Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. MATERIALS AND METHODS: An AI summarization tool was created to provide a "Patient Story", specialty-specific "Recent ... read more 

Optimising supervised machine learning algorithms predicting cigarette cravings and lapses for a smoking cessation just-in-time adaptive intervention (JITAI).

PloS one
This study aimed to optimise the balance between participant burden and algorithm performance for predicting high-risk moments in a smoking cessation just-in-time adaptive intervention (JITAI) by systematically varying ecological momentary assessment... read more 

Generative AI-Assisted Microlearning for Erectile Dysfunction Myth Reduction: Single-Center Pre-Post Quasi-Experimental Study.

JMIR formative research
BACKGROUND: Erectile dysfunction (ED) is strongly influenced by persistent misconceptions that delay help-seeking and limit engagement with effective care. Patient-centered digital strategies, including generative artificial intelligence (AI) microle... read more 

VesiclePy: A machine learning vesicle analysis toolbox for volume electron microscopy.

PLoS computational biology
Vesicles are critical components of neurons that package neurotransmitters and neuropeptides for their release, in order to communicate with other neurons and cells. However, due to their small size, the reconstruction of the full vesicle endowment a... read more 

Multiplex networks-based directed graph neural network for cancer driver gene identification.

PLoS computational biology
Identifying cancer driver genes is crucial in precision oncology. Most existing methods rely on a single interaction network to capture gene relationships. However, with the increasing availability of multi-omics and biological network data, integrat... read more