Artificial Intelligence Medical Compendium

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

Showing 64,491 to 64,500 of 231,605 articles

Pipeline Evaluation of a State-of-the-Art AI Algorithm for Detection of Focal Cortical Dysplasia: Insights into Potential Failure Sources

medRxiv Jan 15, 2026
PurposeMELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate which aspects of the pipeline affect its a... read more 
radiology and imaging

Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic Review on Glioma Segmentation and Classification on Multiparametric MRI

medRxiv Jan 15, 2026
Brain tumors are among the most lethal cancers with gliomas representing the most morphologically complex type. Precise and time efficient glioma segmentation and classification are essential for accurate diagnosis, treatment planning, and patient mo... read more 
radiology and imaging

Achieving Expert-Level Clinical Infection Detection with LLMs from Clinical Documents: Validation in Complex Patient Cases with Cirrhosis

medRxiv Jan 15, 2026
BackgroundSystemic infections are a leading cause of hospitalization and death among patients with cirrhosis. Timely and accurate infection identification is essential for both clinical care and the development of predictive models. However, existing... read more 
gastroenterology

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

Histological aging signatures enable tissue-specific disease prediction from blood

bioRxiv Jan 15, 2026
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and architectural changes in human tissues, providing an opportunity to quantify and interpret tissue-specific aging. To address this, we present a comprehensi... read more 
physiology

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

bioRxiv Jan 15, 2026
Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disease variants to engineering vaccines and therapeutic proteins. We introduce HERMES, a family of fast,... read more 
bioinformatics

A genotype-phenotype transformer to assess and explain polygenic risk

bioRxiv Jan 15, 2026
Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, but their utility has been limited by lack of mechanistic understanding and widespread epistatic interactions. Recently, Transformer models have emerge... read more 
bioinformatics

NeuroSimo: an open-source software for closed-loop EEG- or EMG-guided TMS

bioRxiv Jan 15, 2026
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solution... read more 
bioengineering

OpenDVP: An experimental and computational framework for community-empowered deep visual proteomics

bioRxiv Jan 15, 2026
Deep visual proteomics (DVP) is an emerging approach for cell type-specific and spatially resolved proteomics. However, its broad adoption has been constrained by the lack of an open-source end-to-end workflow in a community-driven ecosystem. Here, w... read more 
systems biology
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