Artificial Intelligence Medical Compendium

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

Showing 24,041 to 24,050 of 217,366 articles

Clinically Explainable Disease Diagnosis Based on Biomarker Activation Map.

IEEE transactions on bio-medical engineering May 1, 2026
OBJECTIVE: Artificial intelligence (AI)-based disease classifiers have achieved specialist-level performances in several diagnostic tasks. However, real-world adoption of these classifiers remains challenging due to the black box issue. Here, we repo... read more 

Extending Multiscale Characterization of Heart Rate Variability via Deep Learning for Mortality Risk Prediction.

IEEE transactions on bio-medical engineering May 1, 2026
OBJECTIVE: To improve mortality risk prediction from heart rate variability (HRV) signals by capturing nonlinear scaling patterns often overlooked by traditional linear analyses. METHODS: This study combines detrended moving average (DMA) analysis wi... read more 

Balancing Speed and Sensitivity: Echo-Planar Accelerated MRI for ARIA-H Screening in Anti-Aβ Therapeutics.

Investigative radiology May 1, 2026
The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based screening of amyloid-related imaging abnormalities, particularly the hemorrhage subtype (ARIA-H). In this editorial, we discuss the study by Loftus and... read more 

Deep Learning-based Automated Coronary Plaque Quantification: First Demonstration With Ultra-high Resolution Photon-counting Detector CT at Different Temporal Resolutions.

Investigative radiology May 1, 2026
OBJECTIVES: The aim of this study was to evaluate the feasibility and reproducibility of a novel deep learning (DL)-based coronary plaque quantification tool with automatic case preparation in patients undergoing ultra-high resolution (UHR) photon-co... read more 

Using Generative Artificial Intelligence to Identify Central Line-associated Bloodstream Infections.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Apr 30, 2026
BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and publicly reported in United States hospitals but requires manual chart review. Generative artificial intelligence (AI) may facilitate CLABSI identificati... read more 

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

arXiv Apr 30, 2026
Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single self-supervised representation can generalize across ... read more 
Machine Learning cs.AI cs.CV

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

arXiv Apr 30, 2026
Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deployable scale. We train a 616K-parameter CNN on SEP-28... read more 
Sound cs.LG eess.AS

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

arXiv Apr 30, 2026
Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two major limitations: The spectral redundancy in high-dime... read more 
Image and Video Processing cs.CV

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

arXiv Apr 30, 2026
Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limited non-linear modeling capacity of standard feed-for... read more 
Image and Video Processing cs.CV

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

arXiv Apr 30, 2026
Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multimodal evidence routinely available in clinical practice. To address th... read more 
Computer Vision and Pattern Recognition
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