Artificial Intelligence Medical Compendium

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

Showing 4,531 to 4,540 of 174,202 articles

Integrated multi-omics analysis identifies lipid metabolism biomarkers in ONFH and reveals therapeutic potential of retinoic acid.

Scientific reports Aug 21, 2025
Osteonecrosis of the femoral head (ONFH) is a debilitating condition frequently associated with dysregulation in lipid metabolism. The objective of this study was to identify potential biomarkers for ONFH through various analytical methods and experi... read more 
Tretinoin Lipid Metabolism Molecular Docking Simulation Multiomics Single-Cell Analysis Humans Biomarkers

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation

arXiv Aug 21, 2025
Numerous deep learning-based solutions have been developed for the automatic recognition of breast cancer using mammography images. However, their performance often declines when applied to data from different domains, primarily due to domain shift... read more 
Image and Video Processing Computer Vision and Pattern Recognition

Integrating frequency and dynamic characteristics of EMG signals as a new inter-muscular coordination feature.

Physical and engineering sciences in medicine Aug 21, 2025
The impairment of inter-muscular coordination and changes in frequency components are two major pathological symptoms associated with knee injuries; however, an effective method to simultaneously quantify these changes has yet to be developed. Moreov... read more 

MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems

arXiv Aug 21, 2025
Multimodal recommendation typically combines the user behavioral data with the modal features of items to reveal user's preference, presenting superior performance compared to the conventional recommendations. However, existing methods still suffer... read more 
Information Retrieval

Combined application of numerical simulation and machine learning in debris flow hazard mapping.

Scientific reports Aug 21, 2025
Debris flow hazard mapping (DFHM) played an important role in reducing the threat of debris flows. Conventional DFHM usually requires numerical simulations to obtain debris flow intensity, which is usually quite time-consuming. This paper is to intro... read more 

Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

arXiv Aug 21, 2025
Hyperspectral images (HSIs) play a crucial role in remote sensing but are often degraded by complex noise patterns. Ensuring the physical property of the denoised HSIs is vital for robust HSI denoising, giving the rise of deep unfolding-based metho... read more 
Image and Video Processing Computer Vision and Pattern Recognition

Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform

arXiv Aug 21, 2025
Clinical cystoscopy, the current standard for bladder cancer diagnosis, suffers from significant reliance on physician expertise, leading to variability and subjectivity in diagnostic outcomes. There is an urgent need for objective, accurate, and e... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

NextVir: Enabling classification of tumor-causing viruses with genomic foundation models.

PLoS computational biology Aug 21, 2025
MOTIVATION: Oncoviruses, pathogens known to cause or increase the risk of cancer, include both common viruses such as human papillomaviruses and rarer pathogens such as human T-lymphotropic viruses. Computational methods for detecting viral DNA from ... read more 

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation

arXiv Aug 21, 2025
Recommender systems traditionally represent items using unique identifiers (ItemIDs), but this approach struggles with large, dynamic item corpora and sparse long-tail data, limiting scalability and generalization. Semantic IDs, derived from multim... read more 
Information Retrieval Machine Learning

Advances in the management of uveitic cataract: current strategies and emerging perspectives.

International ophthalmology Aug 21, 2025
PURPOSE: This review aims to summarize the current knowledge concerning the management of cataract in patients with uveitis. read more 
Humans Uveitis Disease Management Cataract Cataract Extraction
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