Artificial Intelligence Medical Compendium

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

Showing 47,101 to 47,110 of 224,199 articles

Adaptive Prescribed-Time Dynamic Self-Triggered Time-Varying Bipartite Formation Control for Uncertain Nonlinear Multiagent Systems With Actuator Faults.

IEEE transactions on cybernetics Feb 25, 2026
This article develops a self-triggered prescribed-time (PT) smooth bipartite formation tracking control (BFTC) strategy for uncertain nonlinear multiagent systems (NMASs) operating over directed graphs. An adaptive backstepping framework is employed ... read more 

Large-Scale Multimodality via Dual-Path Cooperative Feature Fusion Strategy for Medical Image Segmentation.

IEEE transactions on medical imaging Feb 25, 2026
Convolutional Neural Networks struggle with long-range dependencies modeling in medical image segmentation, and traditional Transformer models rely on Multi-Layer Perceptron (MLP) for channel information mixing, with performance issues as data dimens... read more 

Adversarial and Correlation-Aware Data Augmentation Framework for Multi-Label Chest X-Ray Image Classification.

IEEE journal of biomedical and health informatics Feb 25, 2026
Deep learning-based methods have shown promising results in multi-label chest X-ray (CXR) image classification. However, most existing methods rely on large-scale fully-annotated datasets, which are costly and laborious to obtain. Therefore, training... read more 

Attention-Enhanced Temporal and Spatial Feature Extraction Network for ADHD Diagnosis based on fMRI.

IEEE journal of biomedical and health informatics Feb 25, 2026
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder, and accurate diagnosis is critical for ensuring timely intervention. The integration of deep learning and fMRI can effectively explore the abnormal spatiotemp... read more 

Fog/Edge-Aware State Space Models for Multi-Task Chest X-ray Report Generation and Lesion Detection.

IEEE journal of biomedical and health informatics Feb 25, 2026
Artificial intelligence (AI) is transforming radiology, particularly in automating medical report generation and abnormality detection. Although recent AI systems have shown clear potential in reducing radiologists' workloads and improving diagnostic... read more 

UCGR: Closing the Discretization Gap in Light Field Depth Estimation via Unified Continuous Geometry Representation.

IEEE transactions on visualization and computer graphics Feb 25, 2026
Light field(LF) cameras encode dense spatial-angular information for depth estimation, critical for applications such as 3D reconstruction, refocusing, and virtual reality. However, current deep learning methods for LF depth estimation still face sig... read more 

Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study.

Journal of medical Internet research Feb 25, 2026
BACKGROUND: Artificial intelligence (AI) promises to significantly impact daily radiology practices. Numerous studies have already been conducted that anticipate this potentially disruptive innovation. So far, these studies have mainly focused on sin... read more 

Exploring Reddit Discourse and Information Needs Surrounding Extreme Heat: Topic, Sentiment, and Engagement Analysis.

Journal of medical Internet research Feb 25, 2026
BACKGROUND: As Canada's climate changes, extreme heat events have become more frequent, a trend that is expected to continue. Extreme heat can lead to several negative health outcomes, which disproportionately impact vulnerable populations. Evidence-... read more 

Trends in Venture Capital Investment in AI-Driven Biopharmaceutical Startups.

Journal of medical Internet research Feb 25, 2026
This study analyzes 2010-2024 venture capital trends in international artificial intelligence-driven biopharmaceutical startups, revealing rapid growth in discovery tool investments and concentrated US funding in California and Massachusetts. read more 

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

JMIR formative research Feb 25, 2026
BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patients and represents a major source of morbidity and health care costs. Current anesthetic dosing relies on empirical guidelines rather than individualize... read more 
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