Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 220,797 articles

Estimation of Walking Body Center of Mass Velocity by Means of Microwave Radars and Deep Learning.

IEEE transactions on bio-medical engineering
OBJECTIVE: This study introduces an innovative framework combining microwave Doppler radar networks with deep learning to estimate three-dimensional body center of mass (BCoM) velocity. We evaluated the system's ability to derive clinical gait-qualit... read more 

Herbarium specimens in the age of artificial intelligence: from herbarium image identification to Integrative Taxonomic AI.

Journal of plant research
Herbarium specimens are physical, verifiable records that form the basis of taxonomic knowledge and biodiversity research. Their large-scale digitization has produced extensive collections of high-resolution images and associated specimen metadata, c... read more 

Cooperativity enables widespread role of low-affinity motifs in chromatin accessibility and increases regulatory potential.

Cell genomics
Low-affinity transcription-factor (TF) motifs are an important element of the cis-regulatory code, yet they are notoriously difficult to map and mechanistically incompletely understood, limiting our ability to interpret non-coding variation in develo... read more 

TriGA-Net: A graph attention network for brain-controlled speaker extraction.

Journal of neural engineering
OBJECTIVE: Electroencephalography (EEG)-guided target speaker extraction aims to recover the listener's attended speech from mixed speech. However, effectively representing and integrating the target-related information shared between EEG and speech ... read more 

Deciphering tissue architecture with StKAN: A multi-modal deep learning framework combining morphology and spatial transcriptomics.

Computational biology and chemistry
Spatial transcriptomics facilitates tissue microenvironment analysis by retaining gene expression alongside spatial context, with spatial domain detection being crucial. Conventional clustering or graph-based approaches often fail to capture global s... read more 

A novel EMG-driven neuromuscular context encoding framework for real-time exoskeleton reference trajectory generation.

Computers in biology and medicine
Accurate intention-aware joint angle trajectory prediction from surface electromyography (sEMG) is central to responsive lower-limb exoskeleton reference trajectory generation, particularly under subject and protocol variability. This paper proposes ... read more 

Associations between physical education teachers' digital teaching competence and students' self-regulated physical activity in AI-augmented classes.

Acta psychologica
This study examined associations between physical education (PE) teacher digital teaching competence and students' self-regulated physical activity in AI-augmented PE classes in China. Teacher digital teaching competence was defined as teachers' capa... read more 

Machine Learning-Based Prediction of Fibular Artery Septocutaneous Perforators.

Journal of reconstructive microsurgery
BACKGROUND: Reliable identification of septocutaneous fibular artery perforators is important for free fibula flap harvest involving a skin paddle. While imaging modalities such as computed tomography angiography (CTA) provide high diagnostic accurac... read more 

Machine Learning-Based Prediction of Fibular Artery Septocutaneous Perforators.

Journal of reconstructive microsurgery
BACKGROUND: Reliable identification of septocutaneous fibular artery perforators is important for free fibula flap harvest involving a skin paddle. While imaging modalities such as computed tomography angiography (CTA) provide high diagnostic accurac... read more