Artificial Intelligence Medical Compendium

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

Showing 63,711 to 63,720 of 230,801 articles

Identification of Subgroups of Individuals Experiencing Patellofemoral Pain with Kinematic and Kinetic Features During Overground Running

medRxiv Jan 15, 2026
Patellofemoral pain (PFP) is a common running related injury associated with several biomechanical factors such as altered kinematics and kinetics across lower extremity joints. Prior research suggests mechanisms for PFP may differ within those affec... read more 
rehabilitation medicine and physical therapy

Simulation of Natural Language from Brain Activity Using Wearable EEG and Deep Learning

medRxiv Jan 15, 2026
Severe motor impairments such as amyotrophic lateral sclerosis and locked-in syndrome lead to partial or complete loss of speech, severely restricting communication as voluntary motor control deteriorates. In this study, we developed a non-invasive, ... read more 
health systems and quality improvement

Longitudinal effects ambient AI scribe use on documentation burden and financial productivity: A quasi-experimental study

medRxiv Jan 14, 2026
BackgroundArtificial intelligence (AI) scribes have the potential to reduce documentation burden. Previous studies have mostly relied on aggregated, vendor-provided (e.g., Epics Signal) outcome measures, potentially obfuscating the true effect of AI ... read more 
health informatics

Integrative Multi-Omics Analysis Reveals Novel Molecular Signatures, Disease Stratification and Therapeutic Opportunities in Primary Ciliary Dyskinesia: First AI-ML empowered platform towards precision medicine targeting human ciliopathies

medRxiv Jan 14, 2026
Primary ciliary dyskinesia (PCD) belongs to the group of rare genetic disorders that is extremely hard to diagnose and treat. Current diagnostic modalities detect only 70% of cases and are technically demanding. It necessitates novel computational ap... read more 
health informatics

Accelerating Inference in Genomic Foundation Models via Speculative Decoding

bioRxiv Jan 14, 2026
Genomic and protein foundation models (GFMs and PFMs) have demonstrated strong performance in learning the language of DNA and proteins, but their use in large-scale sequence generation is limited by the latency of autoregressive decoding. Because ev... read more 
genomics

Predictive coding narrows the gap between convolutional networks and human brain function in misspelled-word reading

bioRxiv Jan 14, 2026
Humans can readily recognize words even when they are misspelled, though with slower responses, demonstrating remarkable robustness in reading. The computational mechanisms underlying this combination of robustness and cost in reading remain unclear.... read more 
neuroscience

Acoustic remote sensing with deep learning enables non-invasive estimation of seabird nest density

bioRxiv Jan 14, 2026
Passive Acoustic Monitoring (PAM) has advanced ecological research by enabling non-invasive recordings of wildlife vocalizations that provide insight into species presence, behavior, and reproductive activity. This remote-sensing approach is particul... read more 
zoology

NEuRT: A Transformer-Based Model for Explainable Neuronal Activity Analysis

bioRxiv Jan 14, 2026
The study of neuronal activity is essential for understanding brain function and its alterations in neurodegenerative diseases. Advances in in vivo imaging have enabled real-time observation of neuronal dynamics, but classical statistical methods str... read more 
neuroscience

3D reconstruction of spatial transcriptomics with spatial pattern enhanced graph convolutional neural network

bioRxiv Jan 14, 2026
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for anal... read more 
bioinformatics

LoopBin, a VaDE-based neural network for chromatin loop classification

bioRxiv Jan 14, 2026
Classifying chromatin loops from 3D genomics data according to their epigenetic and structural attributes is important for inferring their functional roles. Currently, such classification typically relies on the manual intersection of epigenomic sign... read more 
bioinformatics
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