Artificial Intelligence Medical Compendium

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

Showing 45,821 to 45,830 of 224,055 articles

Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Graph neural networks have shown remarkable success in exploiting the spatial and temporal patterns on dynamic graphs. However, existing GNNs exhibit poor generalization ability under distribution shifts, which is inevitable in dynamic scenarios. As ... read more 

Leveraging Artificial Intelligence to Transform Thoracic Radiology for Lung Nodules and Lung Cancer: Applications, Challenges, and Future Directions.

Journal of thoracic imaging Mar 1, 2026
This review traces the historical path of artificial intelligence (AI) methods that have been applied to medical image interpretation. Early AI approaches, which were based on clinical expertise and domain-specific medical knowledge, established the ... read more 

MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Understanding human intentions and actions through egocentric videos is important on the path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand trajectory prediction plays a vital role in comprehending human motio... read more 

Imitation Learning for Multiobjective Optimization-AlphaMOEA.

IEEE transactions on cybernetics Mar 1, 2026
In the last decade, a variety of multiobjective evolutionary algorithms (MOEAs) with specific enhancements have been developed for solving multiobjective optimization problems (MOPs). In this article, unlike MOEAs, we provide a new artificial intelli... read more 

Artificial Intelligence as a New Player in Dietary Management of Inflammatory Bowel Disease.

Inflammatory bowel diseases Mar 1, 2026
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Deep learning-based approach for differential diagnosis of odontogenic cysts from histopathological images.

Medicina oral, patologia oral y cirugia bucal Mar 1, 2026
BACKGROUND: This study aims to provide Deep Learning (DL) based artificial intelligence (AI) methods using histopathology images to diagnose different types of odontogenic cysts (OCs) differentially. MATERIAL AND METHODS: Within the scope of the prop... read more 

Learning Task-Preferred Inference Routes for Gradient De-Conflict in Multi-Output DNNs.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Multi-output deep neural networks (MONs) contain multiple output branches of various tasks, and these tasks typically share partial network filters, resulting in entangled inference routes between different tasks within the networks. Due to the diver... read more 

Artificial Intelligence in Cardiovascular MRI: From Imaging to Biomechanics and Diagnosis.

Journal of thoracic imaging Mar 1, 2026
In this review, we highlight how artificial intelligence, specifically deep learning, is reshaping every aspect of cardiovascular magnetic resonance imaging: from planning and acquisition to reconstruction, analysis, and clinical report generation. W... read more 

A Decade of Advancements in Musculoskeletal Imaging.

Investigative radiology Mar 1, 2026
The past decade has witnessed remarkable advancements in musculoskeletal radiology, driven by increasing demand for medical imaging and rapid technological innovations. Contrary to early concerns about artificial intelligence (AI) replacing radiologi... read more 

Diagnostic and Technological Advances in Magnetic Resonance (Focusing on Imaging Technique and the Gadolinium-Based Contrast Media), Computed Tomography (Focusing on Photon Counting CT), and Ultrasound-State of the Art.

Investigative radiology Mar 1, 2026
Magnetic resonance continues to evolve and advance as a critical imaging modality for disease diagnosis and monitoring. Hardware and software advances continue to propel this modality to the forefront of the field of diagnostic imaging. Next generati... read more 
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