Artificial Intelligence Medical Compendium

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

Showing 5,051 to 5,060 of 174,202 articles

Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

arXiv Aug 19, 2025
Comprehensive highway scene understanding and robust traffic risk inference are vital for advancing Intelligent Transportation Systems (ITS) and autonomous driving. Traditional approaches often struggle with scalability and generalization, particul... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Image and Video Processing

Experimental investigation and optimization of epoxy composites reinforced with jute fiber and alumina using the Jaya ANFIS approach.

Scientific reports Aug 19, 2025
Composites reinforced with natural fibers are increasingly progressively in diverse engineering practices for their remarkable attributes, including weight reduction, high strength, cost-efficiency, biodegradability, and renewability. This research e... read more 

Knowledge-GPT Guided Generalizable Reinforcement Learning for Intelligent Emergency Generator Tripping in Power System.

IEEE transactions on neural networks and learning systems Aug 19, 2025
Emergency control is essential for ensuring transient stability in power systems after faults. This study addresses the limitations in existing methods by proposing a knowledge-generative pretrained transformer (GPT)-guided generalizable reinforcemen... read more 

A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study.

JMIR formative research Aug 19, 2025
BACKGROUND: Thyroid nodules are common, with ultrasound imaging as the primary modality for their assessment. Risk stratification systems like the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) have been develop... read more 

Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

BMC medical education Aug 19, 2025
BACKGROUND: Artificial intelligence (AI) has demonstrated remarkable capabilities across diverse medical applications, potentially revolutionizing healthcare delivery systems. This systematic review and meta-analysis investigated the comparative effe... read more 
Humans Artificial Intelligence Students, Medical Generative Artificial Intelligence Randomized Controlled Trials as Topic Education, Medical Teaching

Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025
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Application of machine learning in early childhood development research: a scoping review.

BMJ open Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential... read more 
Humans Machine Learning Infant Child, Preschool Child Child Development

What social stratifications in bias blind spot can tell us about implicit social bias in both LLMs and humans.

Scientific reports Aug 19, 2025
Large language models (LLMs) are the engines behind generative Artificial Intelligence (AI) applications, the most well-known being chatbots. As conversational agents, they-much like the humans on whose data they are trained-exhibit social bias. The ... read more 
Humans Artificial Intelligence Language Female Adult Male Bias Social Perception Prejudice

Pre-crash injury risk prediction with guaranteed confidence level: a conformal and interpretable framework.

Traffic injury prevention Aug 19, 2025
OBJECTIVE: Pre-crash injury risk prediction is crucial for proactive safety measures, while traditional models, which output single-point predictions without explaining the decision reasons, often lack interpretability and reliable uncertainty estima... read more 

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more 
Humans Diabetic Retinopathy Neural Networks, Computer Glaucoma Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Principal Component Analysis Eye Diseases Ensemble Learning
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