Artificial Intelligence Medical Compendium

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

Showing 1,931 to 1,940 of 200,546 articles

Design and structure of protein cages based on helical fusion and machine learning

bioRxiv May 29, 2026
Self-assembling protein cages are versatile nanoscale architectures with broad applications in drug delivery, vaccine development, and structural biology. Historically, two main strategies have been used to construct such cages: genetic fusion of oli... read more 
biochemistry

Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning

bioRxiv May 29, 2026
Oncologists are increasingly relying on multiple modalities to model the complexity of diseases. Within this landscape, transcriptomic and epigenetic data have proven to be particularly instrumental and play an increasingly vital role in clinical app... read more 
bioinformatics

ModCRE-NN: Interpretable Deep Learning Harnesses Structural and Evolutionary Synergy to Predict Transcription Factor Binding Specificity

bioRxiv May 29, 2026
We present ModCRE-NN, a machine-learning framework and server for predicting transcription-factor (TF) DNA-binding motifs through the integration of structural and evolutionary information. The method combines structure-derived Position Weight Matric... read more 
bioinformatics

Physical activity promotes longitudinal white matter brain adaptations that support fluid intelligence with age

bioRxiv May 29, 2026
The aging population continues to grow, and along with it the need to better understand the unique characteristics of the aging brain. Despite the cortical thinning and myelin degeneration that occurs in later life, many individuals are resilient to ... read more 
neuroscience

Deconvolution improves cryo-EM maps

bioRxiv May 29, 2026
With technological advancements in recent years, single particle cryogenic electron microscopy (cryo-EM) has become a major methodology for structural biology. Structure determination by single particle cryo-EM is premised on randomly orientated part... read more 
biophysics

Using artificial intelligence for radiotherapy clinical trial quality assurance: analysis of a multi-institutional clinical trial for neurovascular-sparing prostate stereotactic ablative radiotherapy

medRxiv May 29, 2026
Our study evaluated whether a deep learning auto segmentation model combined with machine learning triage can streamline radiotherapy clinical trial quality assurance (QA). We analyzed 107 stereotactic ablative radiotherapy (SABR) cases from a multi-... read more 
health informatics

Closed-Loop Quality Assurance for Production Clinical AI Documentation

medRxiv May 29, 2026
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaints with zero regressions on 42 tracked cases across 1,089 optimization iterations, while a deterministic assembly-agent replacement cut H+P trace laten... read more 
health informatics

Keeping human in the loop: A three-phase generative AI workflow for research integrity in data-intensive science.A methodological case study using elite Ethiopian distance-running data

medRxiv May 29, 2026
Background: Generative AI tools can support data-intensive research by writing code, drafting prose, searching analytical possibilities, and stress-testing claims. They can also produce false citations, drift between statistical specifications, and l... read more 
sports medicine

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

medRxiv May 29, 2026
Quantitative eye movement analysis is important for neuro- logical diagnostics, yet existing video-oculography (VOG) systems typ- ically require calibration, device-specific settings, or accurate gaze la- bels. We present VOGeo-Gaze, a real-time, cal... read more 
health informatics

Use of large language models by academic hospitalists: results of a multicenter survey

medRxiv May 29, 2026
Introduction: The use of artificial intelligence (AI) by clinicians has increased rapidly in recent years, with large language models (LLMs) emerging as tools that can equal clinician diagnostic performance in simulated settings. However, limited dat... read more 
health systems and quality improvement
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