Artificial Intelligence Medical Compendium

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

Showing 891 to 900 of 234,751 articles

Deciphering dengue fever transmission on higher-order networks.

Journal of mathematical biology
Dengue fever is a viral infection transmitted to humans through the bites of infected mosquitoes. Modeling dengue transmission is crucial for control, given its risk to half the world's population. This paper develops a host-to-host transmission mode... read more 

Development and Exploratory Evaluation of a Large Language Model-Supported Scoping Review Workflow.

Journal of medical systems
Large language models (LLMs) have demonstrated human-level performance in literature review screening phases and have been evaluated in systematic-review workflows. However, LLM performance in scoping reviews, which are broader and more heterogeneous... read more 

Fractional-order dynamical modelling of neurophysiological reaction-diffusion model of adiposity-induced cognitive decline using physics-informed neural networks.

Journal of biological physics
Obesity, hyperglycemia, and aging are major risk factors for dementia-related disorders, particularly Alzheimer's disease. We develop a time-fractional reaction-diffusion mathematical framework integrating nine interacting biological compartments gov... read more 

Willingness to undergo autonomous robotic surgery in Jordanian medical students: a national multicenter cross-sectional survey.

Journal of robotic surgery
Surgical robots in clinical use operate under continuous human control, yet research systems now perform surgical tasks on their own. Patient willingness may limit adoption, and to our knowledge no study has measured willingness across defined levels... read more 

Infection Prevention and Device Pocket Management in Cardiac Implantable Electronic Devices: Emerging Strategies.

Current cardiology reports
PURPOSE OF REVIEW: Cardiac implantable electronic device (CIED) infection remains one of the most serious complications of device therapy, causing significant morbidity, mortality, healthcare utilization, and costs. Despite advances in device technol... read more 

Improved diffusion tensor parametric maps in the brain from reduced-direction acquisitions using a deep learning approach.

Magma (New York, N.Y.)
OBJECTIVES: This study implements and evaluates a deep learning approach to enhance FA, MD, AD, and RD maps derived from 16-direction DTI to approximate corresponding maps derived from 32-direction DTI, with the aim of reducing acquisition time while... read more 

Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner.

Lifetime data analysis
Estimating heterogeneous treatment effects in survival settings is complicated by right censoring as well as the time-varying nature of the estimand. While the conditional average treatment effect (CATE) provides a natural target, most existing appro... read more 

Machine learning-based analysis of heat and mass transfer in casson hybrid nanofluid flow over a variable porous riga plate.

Discover nano
This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Marquardt backpropagation (LMBP) method to investigate the impact of heat radiation on the hybrid nanofluid flow through a variable porous medium beneat... read more 

Automated 3D Analysis of Hip Morphology in a Young Adult Population.

Annals of biomedical engineering
PURPOSE: Although many factors contribute to the development of hip OA, structural findings, such as acetabular dysplasia, are recognized as strong contributing factors to early degenerative changes. However, conventional two-dimensional imaging cann... read more 

Altered cholangiocyte subsets with neural pathway enrichment in metabolic dysfunction-associated steatotic liver disease.

Internal and emergency medicine
Hepatocytes have been extensively studied in metabolic dysfunction-associated steatotic liver disease (MASLD), yet the role of cholangiocytes remains underexplored. We utilized a comprehensive approach that integrates high-dimensional weighted gene c... read more