Artificial Intelligence Medical Compendium

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

Showing 681 to 690 of 200,021 articles

Long-term exposure to wildfire smoke particulate matter and incident stroke: a US nationwide study.

European heart journal Jun 2, 2026
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high fine particulate matter (PM2.5) concentrations. While short-term exposure has been linked to adverse cardiovascular outcomes, long-term effects remai... read more 

ATRNet-STAR: A Large Dataset and Benchmark Toward Remote Sensing Object Recognition in the Wild.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026
The absence of publicly available, large-scale, high-quality datasets for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has significantly hindered the application of rapidly advancing deep learning techniques, which hold huge potent... read more 

PREDICTING POSTOPERATIVE OUTCOMES IN FULL-THICKNESS MACULAR HOLE REPAIR SURGERY: ChatGPT Versus Clinical Decision.

Retina (Philadelphia, Pa.) Jun 1, 2026
PURPOSE: To evaluate the ability of ChatGPT-5 to predict long-term anatomical and functional outcomes after full-thickness macular hole (FTMH) surgery, and to compare its performance with retinal specialists' predictions and real-world results. METHO... read more 

Optimal Tracking Control of Uncertain Nonlinear Systems Using Simplified Reinforcement Learning.

IEEE transactions on cybernetics Jun 1, 2026
This article investigates the optimal tracking control problem for high-order uncertain nonlinear systems by developing a simplified reinforcement learning (RL) framework with minimal neural networks (NNs). In contrast to conventional RL-based scheme... read more 

Evolutionary Multiobjective Neural Architecture Search for Binary Neural Networks by Two-Stage Optimization.

IEEE transactions on cybernetics Jun 1, 2026
Binary neural networks (BNNs) have been applied in limited resources and mobile devices because of their extreme model compression ability. However, manually designing suitable architectures is challenging given the specialized structure of binarized... read more 

BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing.

IEEE transactions on biomedical circuits and systems Jun 1, 2026
The growing demand for continuous physiological monitoring and human-machine interaction in real-world settings calls for wearable platforms that are flexible, low-power, and capable of on-device intelligence. This work presents BioGAP-Ultra, an adva... read more 

Cardiovascular Disease Classification System With ECG-Gating PCG Algorithm and Programmable AI Accelerator Design.

IEEE transactions on biomedical circuits and systems Jun 1, 2026
Cardiovascular diseases (CVDs) are among the leading causes of mortality. Traditional diagnostic methods require hospital visits and professional medical personnel, but the timely detection of cardiac conditions can significantly improve survival rat... read more 

Safe Optimal Control Framework for Cooperative Manipulation of Objects in Human-Robot Teams.

IEEE transactions on cybernetics Jun 1, 2026
This article introduces a distributed deep neural network (NN)-based adaptive control framework for cooperative object manipulation in human-robot teams with unknown agent dynamics by using three distinct multilayer NN observers (MNNOs). The first ob... read more 

Skill Information Representation Imitation Learning for Long-Horizon Dexterous Robot Micromanipulation of Deformable Cell.

IEEE transactions on cybernetics Jun 1, 2026
Robots performing collaborative long-horizon dexterity cell micromanipulation tasks are challenging and practically significant, such as peeling cell membranes, which is considered one of the most technically demanding procedures. The imitation learn... read more 

Dual Adaptive Disentangled Representation Learning With Multimodal Data for Disease Diagnosis.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026
The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current methods face two major challenges: 1) the significant heterogene... read more 
Popular Topics
Recent Journals