Artificial Intelligence Medical Compendium

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

Showing 16,761 to 16,770 of 213,633 articles

Towards objective identification of myofascial trigger points: A high-density surface electromyography method.

Computers in biology and medicine May 19, 2026
BACKGROUND: Myofascial trigger points (MTrPs), which arise from muscle overload and subsequent ischemia, contribute to myofascial pain syndrome (MPS). Despite the high prevalence of MPS, diagnosis remains challenging. There is a lack of objective met... read more 

Bioconvection MHD casson hybrid nanofluid (Ag-TiO2) flow with dissipative heat transfer and slip effects: A neural network-assisted computational study for biomedical applications.

Computers in biology and medicine May 19, 2026
The biomedical engineering and polymer processing industries experience rising needs for thermal management systems because of continuous technology improvements. The study investigates how a Casson fluid magnetohydrodynamic (MHD) stagnation-point fl... read more 

Hybrid fractional groupers and moray eels driven deep learning for pneumonia detection using multi-modal data in federated learning.

Computers in biology and medicine May 19, 2026
Pneumonia is a severe lung infection triggered by various viral pathogens. Detecting and diagnosing pneumonia using clinical images is challenging because its visual features often resemble those of other pulmonary conditions. As a result, existing a... read more 

A machine learning surrogate model for fast approximation of simulated microwave ablation zones.

Biomedical physics & engineering express May 19, 2026
Microwave ablation (MWA) is a minimally invasive therapy for liver, lung, and kidney tumors. Computational modeling with finite element methods (FEM) can simulate ablation zones but is too slow for interactive use. This study develops and evaluates a... read more 

Van der Waals heterostructure-based flexible two-terminal ferroelectric field-effect transistors for in-sensor optoelectronic computing.

Nanotechnology May 19, 2026
The rapid development of artificial intelligence has resulted in the exploitation of bio-inspired visual systems for in-sensor optoelectronic computing. To achieve this, we propose a bioinspired flexible two-terminal optoelectronic synapse enabled by... read more 

From models to agentic systems: the evolution of Artificial Intelligence in medical physics.

Physics in medicine and biology May 19, 2026
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Feasibility study of non-invasive blood pressure measurement based on multidimensional characteristics of radial artery pressure pulse wave.

Physiological measurement May 19, 2026
OBJECTIVE: This study focuses on a non-invasive blood pressure prediction method based on radial artery pulse wave feature analysis, aiming to achieve rapid and accurate blood pressure measurement, help doctors diagnose diseases more accurately, prom... read more 

Using clinical and thrombus characteristics to predict the etiology of ischemic stroke: An analysis of the INSIGHT registry.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2026
BACKGROUND AND PURPOSE: Ischemic stroke comprises about 87% of all stroke cases in the US. 20% of these have a cardioembolic (CE) etiology, and 25% are still considered embolic strokes of undetermined sources (ESUS). ESUS strokes are associated with ... read more 

AI-guided integration of aging-related functional assessment to predict nonresponse to cardiac rehabilitation in heart failure.

The journal of nutrition, health & aging May 19, 2026
BACKGROUND: Cardiac rehabilitation (CR) improves functional capacity and outcomes in patients with heart failure (HF). However, a clinically significant subgroup of patients exhibits limited improvements in aerobic capacity, indicating substantial he... read more 

Extracting Social Determinants of Health From Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model Methods.

JMIR medical informatics May 19, 2026
BACKGROUND: Social determinants of health (SDoH) are critical drivers of health outcomes but are often underdocumented in structured electronic health record (EHR) data. Instead, SDoH are more commonly recorded in unstructured clinical notes, and unl... read more 
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