Artificial Intelligence Medical Compendium

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

Showing 2,891 to 2,900 of 168,134 articles

A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ... read more 
Taiwan Hepatic Encephalopathy Liver Cirrhosis Longitudinal Studies Female Aged Male Humans Middle Aged Adult Machine Learning Prognosis Retrospective Studies

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study.

Journal of medical Internet research Aug 6, 2025
BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040, which poses significant health care and societal challenges. Artificial intelligence (AI) system... read more 
Humans Qualitative Research Parkinson Disease Stakeholder Participation Artificial Intelligence Trust

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

BMC gastroenterology Aug 6, 2025
PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancreatic cancer patients and identify risk factors that affect patient prognosis. read more 
Multimodal Imaging Pancreatic Neoplasms Proportional Hazards Models Retrospective Studies Risk Factors Humans Female Contrast Media Male Tomography, X-Ray Computed Magnetic Resonance Imaging Middle Aged Aged Prognosis

Automated ultrasound doppler angle estimation using deep learning

arXiv Aug 6, 2025
Angle estimation is an important step in the Doppler ultrasound clinical workflow to measure blood velocity. It is widely recognized that incorrect angle estimation is a leading cause of error in Doppler-based blood velocity measurements. In this p... read more 
Machine Learning Artificial Intelligence I.2.1

I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation

arXiv Aug 6, 2025
Multimodal recommender systems (MRS) improve recommendation performance by integrating diverse semantic information from multiple modalities. However, the assumption of the availability of all modalities rarely holds in practice due to missing imag... read more 
Information Retrieval Multimedia H.3.3; H.5.1

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research Aug 6, 2025
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more 

Case Studies of Generative Machine Learning Models for Dynamical Systems

arXiv Aug 6, 2025
Systems like aircraft and spacecraft are expensive to operate in the real world. The design, validation, and testing for such systems therefore relies on a combination of mathematical modeling, abundant numerical simulations, and a relatively small... read more 
Systems and Control Neural and Evolutionary Computing Systems and Control

Integrating Physics-Based Simulations with Data-Driven Deep Learning Represents a Robust Strategy for Developing Inhibitors Targeting the Main Protease.

Journal of chemical information and modeling Aug 6, 2025
The coronavirus main protease, essential for viral replication, is a well-validated antiviral target. Here, we present Deep-CovBoost, a computational pipeline integrating deep learning with free energy perturbation (FEP) simulations to guide the stru... read more 

Foundation models for radiology-the position of the AI for Health Imaging (AI4HI) network.

Insights into imaging Aug 6, 2025
Foundation models are large models trained on big data which can be used for downstream tasks. In radiology, these models can potentially address several gaps in fairness and generalization, as they can be trained on massive datasets without labelled... read more 

Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.

Communications biology Aug 6, 2025
Deep learning for microbiome analysis has shown potential for understanding microbial communities and human phenotypes. Here, we propose an approach, Transformer-based Robust Principal Component Analysis(TRPCA), which leverages the strengths of trans... read more 
Aging Middle Aged Deep Learning Adult Male Principal Component Analysis Skin Whole Genome Sequencing Humans Gastrointestinal Microbiome Female RNA, Ribosomal, 16S Microbiota
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