Artificial Intelligence Medical Compendium

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

Showing 2,111 to 2,120 of 202,026 articles

Quantitative RNA pseudouridine landscape reveals dynamic modification patterns and evolutionary conservation across bacterial species.

eLife
Pseudouridine (Ψ) modifications are the most abundant RNA modifications; however, their distribution and functional significance in bacteria remain largely unexplored compared to eukaryotic systems. In this study, we present the first transcriptome-w... read more 

Integrating morphology and molecular biology: AI-driven molecular prediction in Pathology with a focus on Cytology.

Acta cytologica
BACKGROUND: Recent computational pathology research proposes using artificial intelligence to infer molecular features from routine hematoxylin-eosin images, aiming to reduce the cost and time associated with biomarker analysis. SUMMARY: Herein, we e... read more 

Readability, quality, and reliability of AI-generated ınformation on myofascial pain syndrome: A comparative analysis of ChatGPT, Gemini, and Perplexity.

PloS one
Patients seeking information about Myofascial Pain Syndrome (MPS), which affects a large segment of the population, are increasingly turning to AI-based chatbots as an alternative to traditional methods. However, the medical accuracy of the content o... read more 

Integrating deep learning, biological hierarchies, and high-resolution imagery to create a new identification tool for cryptic coral reef fishes.

PloS one
Life on Earth has evolved into a staggering diversity of species, most of which still remain undiscovered, unrecognized, or unmonitored. As our ocean's richest biodiversity hotspot, coral reefs harbor more than one third of marine biodiversity, but m... read more 

Students' engagement with AI-supported learning and its association with academic interest and career intentions in business analytics education.

PloS one
Artificial intelligence (AI) tools are increasingly embedded in higher education, yet limited research has examined how sustained AI usage intentions in AI-supported learning environments are associated with learning motivation and longer-term educat... read more 

Performance and safety of a fine-tuned small language model for pediatric emergency triage: A benchmark study.

PloS one
Pediatric emergency triage is a safety-critical task, and recent studies have explored whether artificial intelligence, including language models, can support triage decision-making; however, evidence on fine-tuned open-weight language models remains... read more 

Deep learning-based arterial waveform analysis for predicting postoperative cerebrovascular events in pediatric patients with Moyamoya disease.

PloS one
BACKGROUND: Postoperative cerebrovascular events, including transient ischemic attacks, infarctions, and hemorrhages, remain a significant concern in pediatric patients with Moyamoya disease (MMD)undergoing surgical revascularization. This study aime... read more 

Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems.

PloS one
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While nearly all hospital-based TB cases in Kampala, the capital of Uganda, show clear TB symptoms, 30% or more of undiagnosed TB cases found through active... read more 

Modelling cognitive outcomes in the UK Biobank: Education, noradrenaline and frontoparietal networks.

PloS one
Education is often used as a surrogate measure of so called cognitive reserve (CR) benefiting cognitive functioning in later years. In line with Robertson's theory we tested here a hypothesis that education acting on the noradrenergic system strength... read more 

Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models.

PloS one
UNLABELLED: Accurate weather prediction is crucial in agriculture, disaster prevention, and public safety. CHALLENGE: Traditional numerical models have high computational costs and struggle with atmospheric nonlinearity and chaos, while existing deep... read more