Artificial Intelligence Medical Compendium

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

Showing 2,791 to 2,800 of 168,134 articles

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Autism : the international journal of research and practice
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan:... read more 

Considerations for Videourodynamics and How it Impacts Practice.

Neurourology and urodynamics
AIMS: Provide urologists with a comprehensive understanding to guide the optimal and evidence-based utilization of VUDS in contemporary practice. read more 

Prediction model for chemical explosion consequences via multimodal feature fusion.

Journal of cheminformatics
Chemical explosion accidents represent a significant threat to both human safety and environmental integrity. The accurate prediction of such incidents plays a pivotal role in risk mitigation and safety enhancement within the chemical industry. This ... read more 

The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning.

Scientific data
Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and ... read more 

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

Scientific reports
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ... read more 

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi... read more 

Metabolic Reprogramming in Pheochromocytoma and Paraganglioma: Insights From Untargeted NMR Metabolomics Presurgical and Postsurgical intervention.

Magnetic resonance in chemistry : MRC
The aim of this study is to investigate the metabolic alterations associated with pheochromocytomas and paragangliomas (PPGLs) and the impact of surgical resection on the serum metabolome using untargeted nuclear magnetic resonance (NMR) metabolomics... read more 

Sex differences in white matter amplitude of low-frequency fluctuation associated with cognitive performance across the Alzheimer's disease continuum.

Journal of Alzheimer's disease : JAD
BackgroundSex differences in Alzheimer's disease (AD) progression offer insights into pathogenesis and clinical management. White matter (WM) amplitude of low-frequency fluctuation (ALFF), reflecting neural activity, represents a potential disease bi... read more 

Short and long-term impact of intravitreal anti-VEGF therapy interruption in retinal vein occlusion during the COVID-19 pandemic: functional outcomes and AI-based fluid analysis of macular edema.

International journal of retina and vitreous
BACKGROUND: The aim of the study is to investigate the short- and long-term effects of delayed intravitreal anti-VEGF injections (IVI) for macular edema (ME) in retinal vein occlusion (RVO) patients during the first wave of the COVID-19 pandemic. read more 

Enhancing Electroencephalogram-Based Prediction of Posttraumatic Stress Disorder Treatment Response Using Data Augmentation.

Psychiatry investigation
OBJECTIVE: This study aimed to improve the prediction of treatment response in patients with posttraumatic stress disorder (PTSD) by applying a variational autoencoder (VAE)-based data augmentation (DA) approach to electroencephalogram (EEG) data. read more