Artificial Intelligence Medical Compendium

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

Showing 22,981 to 22,990 of 216,842 articles

A large-scale 12-lead electrocardiogram dataset for acute coronary syndrome prediction containing 19,955 ECGs.

Scientific data
Acute coronary syndrome(ACS) is a common cardiovascular disease and a severe type of coronary heart disease. Electrocardiograms(ECGs) are the initial and indispensable examination for patients suspected of ACS in emergency treatment. Particularly in ... read more 

Autonomous microfluidic experimentation for exploring reaction interference and synthesizing double perovskite nanoplatelets.

Nature communications
Self-driving laboratories enable accelerated exploration of chemical and materials spaces by coupling automated experimentation with machine-learning-guided decision making. However, extending autonomous discovery to compositionally complex materials... read more 

A Central European tree species dataset of annotated terrestrial laser scanning point clouds - TreeScanPL10K.

Scientific data
Forest conservation and management are increasingly challenged by evolving societal expectations, biodiversity decline, and the impacts of climate change, requiring accurate, spatially detailed data for effective decision-making. Remote sensing and p... read more 

Learning patient-specific spatial biomarker dynamics via operator learning for Alzheimer's disease progression.

NPJ systems biology and applications
Alzheimer's disease (AD) is a complex, multifactorial neurodegenerative disorder with substantial heterogeneity in progression and treatment response. Despite recent therapeutic advances, predictive models capable of accurately forecasting individual... read more 

Sex-specific microbial and tryptophan signatures of depression implicate archaeal methanogens and indole-3-acetic acid only in women.

NPJ biofilms and microbiomes
Sex differences in mental health are often overlooked, yet gut microbiota-host metabolite interactions may contribute to sexual dimorphism in depression. In a population-based cohort, we investigated sex-specific links among plasma tryptophan metabol... read more 

Hybrid Lasso-random forest framework for energy prediction using wireless sensor networks in low-energy buildings.

Scientific reports
Efficient monitoring and prediction of appliance energy consumption in low-energy houses are important for optimizing building performance and advancing smart energy management. Wireless sensor networks (WSNs) provide high-resolution indoor environme... read more 

Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches.

Scientific reports
Traffic flow prediction plays an important role in managing urban transportation systems, helping to reduce congestion and improve road safety. Although existing deep learning models improve their predictive accuracy with complex architectures, they ... read more 

TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection.

Scientific reports
A rapid proliferation of industrial internet of things (IIoT) systems has increased the vulnerability of interconnected devices for sophisticated cyberattacks, which necessitates intelligent and privacy-preserving solution for security. This paper pr... read more