Artificial Intelligence Medical Compendium

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

Showing 3,871 to 3,880 of 203,626 articles

Immersive virtual reality for cognitive rehabilitation in patients who had a stroke: study protocol for a randomised controlled trial.

BMJ open Jun 3, 2026
INTRODUCTION: Poststroke cognitive impairment (PSCI) is a prevalent complication of stroke, characterised by deficits in one or more cognitive domains (eg, memory, attention, executive function). Beyond increasing mortality and disability risks, PSCI... read more 

Explainable machine-learning model for coronary artery disease diagnosis in non-AMI patients: integrating inflammatory and traditional risk factors.

Open heart Jun 3, 2026
OBJECTIVE: To develop and interpret an explainable machine learning (ML) model integrating inflammatory biomarkers and traditional risk factors for the diagnosis of coronary artery disease (CAD). METHODS: We retrospectively analysed 4656 patients und... read more 

Diabetes Management Through Glucose Dynamics Analysis Network: A Novel Approach for Accurate Blood Glucose Level Forecasting.

Diabetes, obesity & metabolism Jun 3, 2026
BACKGROUND: Accurate real-time prediction of blood glucose (BG) levels is essential for improving insulin-dosing decision support systems, including closed-loop insulin delivery and bolus calculators. However, existing deep learning models often suff... read more 

Association of Deep Learning-Derived Temporalis Sarcopenia with Mortality in Acute Ischemic Stroke.

The journals of gerontology. Series A, Biological sciences and medical sciences Jun 3, 2026
BACKGROUND: Sarcopenia is associated with mortality following acute ischemic stroke (AIS), but diagnosis is time-consuming. Computed tomography (CT) measures of temporal muscle volume (TMV) and density (TMD) can be automatically extracted from existi... read more 

Phase-Dependent Passive Muscle Stretching Modulates B-Mode Ultrasound Classification of Parkinson's Disease.

Ultrasound in medicine & biology Jun 3, 2026
OBJECTIVE: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by tremor, rigidity and bradykinesia. Although central nervous system pathology has been extensively studied, peripheral musculoskeletal manifestations in P... read more 

Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly.

Ultrasound in medicine & biology Jun 3, 2026
OBJECTIVE: To develop and evaluate a deep learning model capable of detecting ventriculomegaly on prenatal ultrasound images using a foundation model pre-trained specifically on ultrasound data. METHODS: A vision transformer-based ultrasound self-sup... read more 

High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.

Nature communications Jun 3, 2026
Building a neuromorphic vision sensor capable of signal processing and spike generation is essential for developing hardware tailored to brain-inspired spiking neural networks. A critical challenge, however, is the constrained adaptive sensitivity wh... read more 

Characterization of high-resolution AI data center training workloads on single and multiple GPU nodes.

Scientific data Jun 3, 2026
The rapid advancement of Artificial Intelligence (AI) is driving unprecedented computational demands, posing significant challenges to datacenter infrastructure and threatening the stability and resilience of modern power grids. This study presents a... read more 

Genetic architecture of white matter microstructure captured by unsupervised deep representation learning of fractional anisotropy maps.

Nature communications Jun 3, 2026
Fractional anisotropy (FA) from diffusion MRI is a widely used marker of white matter (WM) integrity, but conventional FA-based genetic studies typically rely on tract- or atlas-defined averages that may obscure spatially distributed WM variation and... read more 

Sign language narrative reveals universal and modality-specific features of cortical timescale hierarchy.

Nature communications Jun 3, 2026
Human languages are unique in their capacity to tell stories. Prior neuroimaging studies show that spoken language narrative comprehension engages a neural time-scale hierarchy, from words and sentences to narratives. Sign languages share core featur... read more 
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