Artificial Intelligence Medical Compendium

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

Showing 5,001 to 5,010 of 174,202 articles

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

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 

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study.

Journal of medical Internet research Aug 19, 2025
BACKGROUND: Suicide was the second leading cause of death for youth aged between 10 and 24 years in 2023, necessitating improved risk identification to better identify those in need of support. While machine learning (ML) applied to electronic health... read more 

Digital twins as self-models for intelligent structures.

Scientific reports Aug 19, 2025
A self-model is an artificial intelligence that is able to create a continuously updated internal representation of itself. In this paper we use an agent-based architecture to create a 'digital twin self-model', using the example of a small-scale thr... read more 

Convolutional autoencoder network lithology recognition based on scratch tests.

Scientific reports Aug 19, 2025
To address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to establish a higher-precision lithology identificat... read more 

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

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 19, 2025
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 

Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors.

Scientific reports Aug 19, 2025
The kidney is an important organ that helps clean the blood by removing waste, extra fluids, and harmful substances. It also keeps the balance of minerals in the body and helps control blood pressure. But if the kidney gets sick, like from a tumor, i... read more 
Humans Machine Learning Algorithms Support Vector Machine Decision Trees Kidney Neoplasms

Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test.

Scientific reports Aug 19, 2025
CanAssist Breast (CAB), an immunohistochemistry (IHC) and artificial intelligence-based prognostic test, was developed on Hormone receptor-positive (HR +), HER2/neu-negative (HER2-) breast tumors from Indian patients and validated in retrospective gl... read more 
Humans Artificial Intelligence Prognosis Retrospective Studies Female Aged Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Neoplasm Recurrence, Local Immunohistochemistry Receptor, ErbB-2 Receptors, Progesterone

Large Language Models Use in Dry Eye Disease: Perplexity AI versus ChatGPT4.

Seminars in ophthalmology Aug 19, 2025
PURPOSE: To compare the utility of two large language models (LLM) in dry eye disease (DED) clinics and research. read more 

Biomarker extraction-based Alzheimer's disease stage detection using optimized deep learning approach.

Journal of Alzheimer's disease : JAD Aug 19, 2025
BackgroundCognitive decline and memory loss in Alzheimer's disease (AD) progresses over time. Early diagnosis is crucial for initiating treatment that can slow progression and preserve daily functioning. However, challenges such as overfitting in pre... read more 
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