Artificial Intelligence Medical Compendium

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

Showing 5,071 to 5,080 of 174,202 articles

CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics

arXiv
Methicillin-resistant Staphylococcus aureus (MRSA) is a critical public health threat within hospitals as well as long-term care facilities. Better understanding of MRSA risks, evaluation of interventions and forecasting MRSA rates are important pu... read more 

Five advanced chatbots solving European Diploma in Radiology (EDiR) text-based questions: differences in performance and consistency.

European radiology experimental
BACKGROUND: We compared the performance, confidence, and response consistency of five chatbots powered by large language models in solving European Diploma in Radiology (EDiR) text-based multiple-response questions. read more 

The Promise of Large Language Models in Digital Health: Evidence from Sentiment Analysis in Online Health Communities

arXiv
Digital health analytics face critical challenges nowadays. The sophisticated analysis of patient-generated health content, which contains complex emotional and medical contexts, requires scarce domain expertise, while traditional ML approaches are... read more 

The Potential of Cognitive-Inspired Neural Network Modeling Framework for Computer Vision.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Vision deep neural networks (VDNNs) only simulate the attention-based significance selection function in human visual perception, rather than the full spectrum of visual cognition, reflecting the divide between cognitive science (CS) and artificial i... read more 

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

IEEE transactions on neural networks and learning systems
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 

Comparing Large Language Models as Health Literacy Tools: Evaluating and Simplifying Texts on gender-Affirming Surgery.

Journal of health communication
Patient-facing materials in gender-affirming surgery are often written at a level higher than the NIH-recommended eighth grade reading level for patient education materials. In efforts to make patient resources more accessible, ChatGPT has successful... read more 

Approximate Bayesian Inference via Bitstring Representations

arXiv
The machine learning community has recently put effort into quantized or low-precision arithmetics to scale large models. This paper proposes performing probabilistic inference in the quantized, discrete parameter space created by these representat... read more 

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation

arXiv
Multi-modal recommender system focuses on utilizing rich modal information ( i.e., images and textual descriptions) of items to improve recommendation performance. The current methods have achieved remarkable success with the powerful structure mod... read more 

Artificial intelligence in intensive care unit: Current ethical dilemmas.

The Medico-legal journal
The assessment of neurocritical patients may be complex; they are a vulnerable population, according to the Helsinki Declaration. Currently, the use of artificial intelligence (AI) in critical care settings may pose a dilemma for medico-legal reasons... read more