Artificial Intelligence Medical Compendium

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

Showing 37,441 to 37,450 of 223,469 articles

Machine learning and probabilistic approaches for forecasting infectious disease transmission and cases.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
OBJECTIVES: Forecasting the effective reproductive number (Rt) and infection case counts is critical for guiding public health responses. We developed a machine learning and probabilistic forecasting framework to predict Rt and daily COVID-19 cases, ... read more 

Effect of AI-composed music on emotional and physiological states in healthy volunteers: A pilot study.

Complementary therapies in medicine
Music is a promising nonpharmacological intervention for enhancing healthcare outcomes. Emotional regulation is a key mechanism in this process, but results vary, possibly due to differences in music selection. This study explores the impact of AI-co... read more 

Application of physics-informed neural networks for ground reaction force estimation in human gait.

Computer methods in biomechanics and biomedical engineering
Ground reaction force (GRF) estimation during gait is essential for analyzing human locomotion. Though several conventional machine learning models have been proposed for GRF estimation, their dependence on data often limits generalizability and pred... read more 

Don't predict if you cannot interpret: investigating the clinical viability of facial movements for machine-learning assisted diagnostics of bipolar disorder.

Nordic journal of psychiatry
BACKGROUND: Numerous studies have explored the possibility of developing automatic detection pipelines that can seamlessly diagnose patients with bipolar disorder (BD) and other mental illnesses. Such novel diagnostic tools increasingly rely on data ... read more 

Cross entropy gradient analysis for Alzheimer's disease assessment.

Journal of Alzheimer's disease : JAD
BackgroundAlzheimer's disease (AD) involves progressive cognitive decline associated with disrupted coordination and information exchange across brain regions. Cross-entropy can characterize inter-regional information flow, but its role in AD remains... read more 

Preferences, tailoring, and self-tailoring in internet-delivered treatments: lessons learned.

Expert review of neurotherapeutics
INTRODUCTION: Internet-delivered psychological treatments have been developed and tested in many trials and are also implemented. AREAS COVERED: The authors focus on treatment preferences when clients are allowed to choose treatment orientation and h... read more 

Machine learning-driven QSAR models for the prediction of metabolic mechanisms and thyroid hormone-disrupting effects of emerging pollutants in the human body: a case study of bisphenol analogues.

Environmental science. Processes & impacts
Research on theoretical prediction methods for elucidating the reaction mechanisms and thyroid hormone-disrupting effects of emerging pollutants in the human body faces significant challenges. The application of in silico methods utilizing machine le... read more 

Accelerating organic luminescent material discovery: from quantum chemical calculations to machine learning.

Chemical communications (Cambridge, England)
Organic luminescent materials have attracted significant attention for their pivotal roles in optoelectronic devices, chemical sensing, and biomedical diagnostics. However, the rational design of organic luminescent materials with specific functions ... read more 

AmberTorchPB: A Unified Framework for Poisson-Boltzmann-Based Reaction Field Energy Calculation via Tensor Computation.

Journal of chemical theory and computation
Electrostatic interactions are pivotal to understanding biomolecular structure and function, with the Poisson-Boltzmann (PB) equation serving as a cornerstone for modeling these phenomena in ionic solutions; however, the application of PB solvers to ... read more 

Multilayer Vertical Interactions of Air Pollution and Meteorological Drivers Revealed by a Unified Data-Driven Model.

Environmental science & technology
Vertical distribution of atmospheric pollutants is critical for refined air quality management, yet continuous vertical observations and traditional numerical models remain limited in resolving vertical structures. Here, long-term vertical observatio... read more