Artificial Intelligence Medical Compendium

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

Showing 37,211 to 37,220 of 223,469 articles

MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks.

IEEE transactions on pattern analysis and machine intelligence Mar 31, 2026
End-to-end backpropagation remains the dominant training paradigm in deep learning, yet it suffers from inherent drawbacks, including update locking, high GPU memory consumption, and limited biological plausibility. Supervised local learning alleviat... read more 

Dictionary Multi-Modal Temporal Graph Learning.

IEEE transactions on pattern analysis and machine intelligence Mar 31, 2026
Temporal graph learning focuses on graph deep learning in real-world dynamic scenarios, which uses interaction sequence instead of adjacency matrix to observe the graph dynamic changes more microscopically from the perspective of time evolution. Howe... read more 

MHGNN: Multiplex Hypergraph Neural Networks for Predicting Herb-Symptom Interactions.

IEEE transactions on neural networks and learning systems Mar 31, 2026
Herb-symptom interaction (HSI) prediction is crucial for understanding the multi-target mechanisms of herbal therapies and enabling data-driven precision traditional Chinese medicine (TCM). Existing computational approaches mainly employ graph neural... read more 

Interpretable Similarity of Synthetic Image Utility.

IEEE transactions on medical imaging Mar 31, 2026
Synthetic medical image data can unlock the potential of deep learning (DL)-based clinical decision support (CDS) systems through the creation of large scale, privacy-preserving, training sets. Despite the significant progress in this field, there is... read more 

Chemical-Disease-Gene Association Prediction based on Pretraining-Prompt-Finetuning Heterogeneous Graph Neural Network for Drug Discovery.

IEEE journal of biomedical and health informatics Mar 31, 2026
Chemical-Disease-Gene (CDG) association prediction-encompassing Chemical-Disease (CD), Disease-Gene (DG), and Chemical-Gene (CG) interactions-is a cornerstone of drug discovery, as it underpins target identification and drug repurposing. While these ... read more 

Towards Cognitive Impairment Screening in Elderly Communities with Audio-Visual Modal Disentangled Representation Learning.

IEEE journal of biomedical and health informatics Mar 31, 2026
Alzheimer's disease (AD) is pressing global health concerns, for which early diagnosis is critical to effective intervention. However, conventional approaches, including neuropsychological assessments and neuroimaging techniques, are resource-intensi... read more 

KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks.

IEEE journal of biomedical and health informatics Mar 31, 2026
Pediatric congenital hydronephrosis (CH) is a common urinary tract disorder, primarily caused by obstruction at the renal pelvis-ureter junction. Magnetic resonance urography (MRU) can visualize hydronephrosis, including renal pelvis and calyces, by ... read more 

Cross-Modal Federated TinyML for MCU-based Internet of Medical Things.

IEEE journal of biomedical and health informatics Mar 31, 2026
Internet of Medical Things (IoMT) and Machine Learning (ML) have become increasingly popular in healthcare. Wearable tiny medical devices can collect and transmit personal health-related data. However, applying ML-driven IoT in healthcare presents se... read more 

Image Analysis Methodologies.

Advances in biochemical engineering/biotechnology Mar 31, 2026
This chapter compiles established practices for characterizing crystal populations to characterize the crystallization of biomolecules using image-based systems. It starts with an introduction to available measurement tools, comparing their advantage... read more 

AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

Journal of computer-aided molecular design Mar 31, 2026
Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identification are often constrained by high costs, time demands, and scalability issues, prompting a shift towar... read more 
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