Artificial Intelligence Medical Compendium

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

Showing 36,471 to 36,480 of 223,137 articles

A Deployable Explainable Deep Learning System for Tuberculosis Detection from Chest X-Rays in Resource-Constrained High-Burden Settings

medRxiv Apr 1, 2026
Abstract Objectives: To develop and evaluate a deployable deep learning system with Gradient-weighted Class Activation Mapping (Grad-CAM) for tuberculosis screening from chest radiographs and to assess its classification performance and explainabilit... read more 
radiology and imaging

MedScope: A Lightweight Benchmark of Open-Source Large Language Models for Medical Question Answering

medRxiv Apr 1, 2026
The rapid development of large language models (LLMs) has stimulated growing interest in their use for medical question answering and clinical decision support. However, compared with frontier proprietary systems, the empirical understanding of light... read more 
health informatics

DR. INFO at the Point of Care: A Prospective Pilot Study of an Agentic AI Clinical Assistant

medRxiv Apr 1, 2026
Background: Clinical documentation and information retrieval consume over half of physicians working hours, contributing to cognitive overload and burnout. While artificial intelligence offers a potential solution, concerns over hallucinations and so... read more 
health informatics

Bridging electron microscopy and materials analysis with an autonomous agentic platform.

Science advances Apr 1, 2026
Electron microscopy (EM) reveals atomic-scale structures that underpin catalysis, energy storage, and semiconductor reliability, yet current workflows remain fragmented across segmentation, crystallographic reconstruction, property modeling, and lite... read more 

Integrating Bulk RNA-Seq and Spatial Transcriptomics Data to Reveal Distinct Immune Escape Mechanism and Immunotherapy Based on Post-Translational Modification in Head and Neck Squamous Cell Carcinoma.

Journal of immunotherapy (Hagerstown, Md. : 1997) Apr 1, 2026
Post-translational modification (PTM) plays a crucial role in head and neck squamous cell carcinoma (HNSCC) progression, and their specific prognostic implications in HNSCC have not been thoroughly investigated. TCGA-HNSCC, GSE41613, GSE42743, and GS... read more 

MEASUREMENT OF CHOROIDAL VASCULARITY INDEX AND CHOROIDAL THICKNESS USING DEEP LEARNING-BASED METHODS WITH SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY.

Retina (Philadelphia, Pa.) Apr 1, 2026
PURPOSE: In this study, we aimed to fully automate the measurement of choroidal thickness and choroidal vascularity index in images obtained using swept source optical coherence tomography with the aid of deep learning-based artificial intelligence. ... read more 

DRSPLUS RETINOGRAPHER IN PATIENTS WITH DIABETES: A Comparison Study by Consensus Grading, Reading Center, and Artificial Intelligence.

Retina (Philadelphia, Pa.) Apr 1, 2026
PURPOSE: To evaluate the gradable rate of the retinal images acquired with DRSplus retinographer in patients with diabetes and to estimate the diabetic retinopathy (DR) severity, comparing different methods of analysis and grading. METHODS: Prospecti... read more 

Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. This study explores the effectiveness of audio-visual speech enhancement (AVSE) in improving the intelligibilit... read more 

ProtoMGNet: Memory Guided Network With Instance Prototype Enhancement for Echocardiography Segmentation.

IEEE transactions on bio-medical engineering Apr 1, 2026
Accurate segmentation of key cardiac structures in echocardiography is crucial for early diagnosis of cardiovascular diseases, yet remains challenging due to inherent imaging limitations including low signal-to-noise ratios, speckle noise, and viewpo... read more 

Multiclass Arrhythmia Classification Using Multimodal Smartwatch Photoplethysmography Signals Collected in Real-Life Settings.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Smartwatches with photoplethysmographic (PPG) sensors are ideal for early atrial fibrillation (AF) detection through continuous monitoring. However, prior deep learning was limited either to controlled environments, to minimize motion arti... read more 
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