Artificial Intelligence Medical Compendium

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

Showing 37,271 to 37,280 of 223,469 articles

A deep learning-based IoT malware detection approach for electric vehicle charging stations.

Scientific reports
As Electric Vehicle (EV) charging stations become increasingly intelligent, more Internet of Things (IoT) devices are being integrated to improve operational efficiency. Efficient and accurate detection of IoT malware is crucial to ensuring the stabl... read more 

Prompt engineering competence, knowledge management, and technology fit as drivers of educational sustainability through generative AI.

Scientific reports
This study investigated the impact of prompt engineering competence, knowledge management, and task-individual-technology fit on the continued intention to use artificial intelligence (AI), as well as their implications for educational sustainability... read more 

Quantitative comparison of explainable AI methods for interpreting deep learning-based classification of 3D gait kinematics.

Scientific reports
Gait disorders can be caused by various reasons including cerebral palsy and neuromuscular diseases. 3D clinical gait analysis (3DGA) serves as a valuable clinical tool to assess gait abnormalities. Our previous research introduced a diagnostic tool ... read more 

A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia.

Nature medicine
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodege... read more 

Graph transformer Q-network for collaborative governance and decentralized decision-making in multi-intersection networks.

Scientific reports
Coordinated traffic signal control along urban corridors is critical for reducing stop-and-go waves, vehicle delay, and queue spillback, yet remains challenging under large-scale topology, partial observability, and stochastic demand. Existing MARL c... read more 

Identification of a personalized eGFR threshold improves the prediction of kidney failure risk after transplantation.

Communications medicine
BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tailor treatment, failure risks must be accurately predicted. We are trying to predict the temporal progression of graft function (as treated with estima... read more