Artificial Intelligence Medical Compendium

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

Showing 1,301 to 1,310 of 213,568 articles

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

arXiv Jul 19, 2026
Inverse rendering is traditionally solved via differentiable renderers and gradient descent, which requires substantial problem-specific engineering and is prone to getting stuck in local minima due to ambiguities. Derivative-free approaches alleviat... read more 
Graphics cs.LG

CORAL: Learning Amyloid Fibril Ligand Docking with Cooperative Binding Rewards

arXiv Jul 19, 2026
A hallmark of neurodegenerative diseases such as Alzheimer's and Parkinson's is the aberrant aggregation of proteins into amyloid fibrils, and small molecules that selectively bind to these fibrils hold promise as diagnostics, imaging probes, and the... read more 
Machine Learning

An Explainable FFT-Based Spatial-Frequency Fusion Framework for Deepfake Detection

arXiv Jul 19, 2026
Deepfake generation has raised growing concerns regarding digital media authenticity, misinformation, identity fraud, and public trust. Recent studies show that combining spatial and frequency features leads to stronger detection results than using i... read more 
Computer Vision and Pattern Recognition

Validating Artificial Intelligence Guidance for Ultrasound Acquisition and Remote Interpretation

medRxiv Jul 19, 2026
Background: Venous thromboembolism (VTE), including deep vein thrombosis (DVT), remains a major global health burden. Diagnostic pathways rely on ultrasound but are limited by availability and prolonged time-to-imaging. Novel artificial intelligence ... read more 
radiology and imaging

Transient Apical Sparing in Hypertensive Heart Disease Explained by Laplace's Law

medRxiv Jul 19, 2026
Background: Apical sparing of left ventricular longitudinal strain (LS) is an echocardiographic clue to cardiac amyloidosis but may also occur in hypertensive heart disease (HHD). Objectives: To determine whether apical sparing in HHD is associated w... read more 
cardiovascular medicine

A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records

medRxiv Jul 19, 2026
Objective To develop and evaluate a framework for human-AI interaction. This approach, SHARE (Synergistic Human-Agent REasoning system) was designed to support scalable phenotyping of complex outcomes accurately, robustly and reproducibly from real-w... read more 
health informatics

Development and external validation of deep learning models for spontaneous preterm birth prediction from mid-trimester cervical ultrasound

medRxiv Jul 19, 2026
Preterm birth is the leading cause of neonatal death. Despite sustained efforts to identify high-risk women in the mid-trimester, accurate prediction remains difficult. Quantitative cervical ultrasound texture has been proposed as a predictor of spon... read more 
obstetrics and gynecology

Learning to read a second language establishes a parallel L2 representation alongside the native one in the VWFA

bioRxiv Jul 19, 2026
Learning to read a second language requires the brain to incorporate a new writing system into an already established native-language reading network, yet how this process reshapes the Visual Word Form Area (VWFA) remains poorly understood. Using fMR... read more 
neuroscience

Predicting phenotypes with one step genetic decision trees

bioRxiv Jul 19, 2026
Genomic prediction of complex traits is limited when phenotype records are restricted and when using linear models. Increasing the amount of phenotypic data with high-throughput, image-based phenotyping could result in better genomic prediction and s... read more 
genomics

A Preoperative Electroencephalography Signature for Predicting Treatment Response to Deep Brain Stimulation in Obsessive-Compulsive Disorder

medRxiv Jul 19, 2026
Deep brain stimulation (DBS) is effective for treatment-refractory obsessive-compulsive disorder (OCD), but outcomes are heterogeneous and non-responders incur surgical and financial burden. We sought a scalable, non-invasive preoperative signature o... read more 
psychiatry and clinical psychology
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