Artificial Intelligence Medical Compendium

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

Showing 61,021 to 61,030 of 228,300 articles

Leveraging Explainable Temporal-Modelling Machine Learning to Identify Distinct Multimorbidity Trajectory Profiles in Acute Myocardial Infarction

medRxiv Jan 16, 2026
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexistence of other conditions (i.e., multimorbidity) complicating management and outcomes. Currently, healthcare providers see major challenges in consider... read more 
health informatics

SleePyPhases: A Workflow Framework for Sleep Data Harmonization, Analysis and Machine Learning

medRxiv Jan 16, 2026
Data-driven sleep research relies on polysomnography data from various public repositories and vendor systems. Yet the lack of standardized access methods creates substantial barriers to multi-dataset research, method reuse, and reproducibility. We p... read more 
health informatics

Time-series ECG Imputation Using a Pattern-Based Masking Framework

medRxiv Jan 16, 2026
The utilization of continuous ECG monitoring has become an integral part of modern hospital-based care. However, missing data presents significant challenges in deploying real-time ECG-based predictive systems. Research on the implementation of imput... read more 
health informatics

Computer Vision-Based Retrieval of Steps and Errors in Laparoscopic Cholecystectomy

medRxiv Jan 16, 2026
Traditional surgical training relies heavily on hands-on experiences gained through relatively infrequent procedures during apprenticeships. Recently, postoperative review has become a valuable supplement to this model, offering learning opportunitie... read more 
surgery

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

medRxiv Jan 16, 2026
BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parenchymal integrity may impact proper function but are not routinely used for risk stratification. Here, we propose an AI-pipeline to quantify pancreas vol... read more 
gastroenterology

Vision-Language Models vs Autonomous AI Agents for Anterior Capsular Radial Folds: A Diagnostic Study

medRxiv Jan 16, 2026
ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to resolve brief, low-contrast cues in surgical video without task-specific training is uncertain. Autonomous artificial intelligence (AI) agents offer ... read more 
ophthalmology

Aligning Artificial Intelligence Prediction Targets with Clinical Workflows Using Human Centered Design Methods

medRxiv Jan 16, 2026
Artificial intelligence models in healthcare often fail to improve patient outcomes despite strong predictive performance because they are frequently developed with limited understanding of clinical workflows and system implementation. We demonstrate... read more 
health informatics

TomoSegNet: Augmented membrane segmentation for cryo-electron tomography by simulating the cellular context

bioRxiv Jan 16, 2026
Membrane segmentation is an essential task in the workflow for processing cryo-electron tomography data. Recently, machine learning algorithms have successfully been adopted to perform membrane segmentation. However, the performance of these approach... read more 
bioinformatics

GARD: Genomic Data based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation

bioRxiv Jan 16, 2026
Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis globally, yet current treatments, including surgery, radiation, and immunotherapy, have shown limited improvement in outcomes. Drug repurposing offers... read more 
bioinformatics

Leveraging Unified Sequence-Structure Representations for Enhanced Protein Stability Prediction

bioRxiv Jan 16, 2026
Protein thermal stability, quantified by the change in Gibbs free energy ({Delta}{Delta}G) upon mutation, is critical for drug design and enzyme engineering. Current multi-modal deep learning models, despite integrating sequence, often struggle with ... read more 
bioinformatics
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