Artificial Intelligence Medical Compendium

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

Showing 1,361 to 1,370 of 163,745 articles

Artificial Intelligence-Enabled Short-Term Ambulatory Monitoring ECG during Sinus Rhythm for Prediction of Hidden Atrial Fibrillation.

Journal of cardiovascular electrophysiology Jul 25, 2025
BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This study aimed to use a deep learning model to predict hidden AF in patients who showed normal sinus rhythm (SR) during 24-h Holter monitoring. read more 

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching

arXiv Jul 25, 2025
Reliable medical image classification requires accurate predictions and well-calibrated uncertainty estimates, especially in high-stakes clinical settings. This work presents MedSymmFlow, a generative-discriminative hybrid model built on Symmetrica... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Closing the Modality Gap for Mixed Modality Search

arXiv Jul 25, 2025
Mixed modality search -- retrieving information across a heterogeneous corpus composed of images, texts, and multimodal documents -- is an important yet underexplored real-world application. In this work, we investigate how contrastive vision-langu... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Information Retrieval Machine Learning

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Journal of chemical information and modeling Jul 25, 2025
Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhance catalytic activity, selectivity, and stability in the reverse water-gas shift (RWGS) reaction, facilitating efficient CO hydrogenation to syngas und... read more 

Dual Path Learning -- learning from noise and context for medical image denoising

arXiv Jul 25, 2025
Medical imaging plays a critical role in modern healthcare, enabling clinicians to accurately diagnose diseases and develop effective treatment plans. However, noise, often introduced by imaging devices, can degrade image quality, leading to misint... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

GPUnion: Autonomous GPU Sharing on Campus

arXiv Jul 25, 2025
A pronounced imbalance in GPU resources exists on campus, where some laboratories own underutilized servers while others lack the compute needed for AI research. GPU sharing can alleviate this disparity, while existing platforms typically rely on c... read more 
Distributed, Parallel, and Cluster Computing C.2.4; C.2.1

Protein N-Terminal Modification: Recent Advances in Chemical and Enzymatic Strategies.

Chemistry (Weinheim an der Bergstrasse, Germany) Jul 25, 2025
Site-specific modification of protein termini, particularly the N-terminus, has emerged as a cornerstone of chemical biology and biotechnology, facilitating the engineering of therapeutic proteins and functional biomaterials. The N-terminus, with its... read more 

Letter to the editor: multichannel deep learning prediction of major pathological response after neoadjuvant immunochemotherapy in lung cancer: a multicenter diagnostic study.

International journal of surgery (London, England) Jul 25, 2025
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Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning

arXiv Jul 25, 2025
Automatic classification of Diabetic Retinopathy (DR) can assist ophthalmologists in devising personalized treatment plans, making it a critical component of clinical practice. However, imbalanced data distribution in the dataset becomes a bottlene... read more 
Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

Neural Correction Operator: A Reliable and Fast Approach for Electrical Impedance Tomography

arXiv Jul 25, 2025
Electrical Impedance Tomography (EIT) is a non-invasive medical imaging method that reconstructs electrical conductivity mediums from boundary voltage-current measurements, but its severe ill-posedness renders direct operator learning with neural n... read more 
Numerical Analysis Numerical Analysis
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