Artificial Intelligence Medical Compendium

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

Showing 20,211 to 20,220 of 215,962 articles

Translating innovation into payment: A.I. reimbursement in U.S. health care.

Journal of the American Medical Informatics Association : JAMIA
Artificial intelligence (A.I.) technologies are increasingly deployed across clinical care, yet reimbursement remains a major barrier to sustainable adoption. The Centers for Medicare & Medicaid Services (CMS) currently reimburses A.I.-enabled techno... read more 

Trustworthy artificial intelligence in predictive medicine: cancer survival analysis using ethical-by-design and explainable artificial intelligence models.

JAMIA open
OBJECTIVES: This study aims to develop and evaluate a trustworthy and ethical-by-design machine learning (ML) framework for predicting 5-year cancer survival across 10 Surveillance, Epidemiology, and End Results (SEER) cancer types. We assessed ML mo... read more 

Evaluating AI-Mediated Health Communication via Large Language Model-Based Frequently Asked Questions Rewriting to Foster Clinical Trial Participation: Comparative Survey Study.

JMIR AI
BACKGROUND: Effective communication about clinical trials is essential, as low enrollment undermines scientific validity and contributes to health care inequities. However, recruitment remains a persistent challenge, particularly among older adults, ... read more 

Reimagining Plant Science Training in the Era of Generative AI: A Global Perspective.

The Plant cell
In recent years, a deluge of big and diverse datasets from hundreds of plant species coupled with spectacular innovations in artificial intelligence (AI) and generative AI (GenAI), has altered the landscape of plant science. These developments are in... read more 

Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.

European heart journal
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate disease and drive tissue conversion, yet these changes are not yet fully described. More data are ne... read more 

An explainable AI approach to deciphering groundwater depth responses to climate variability and human activities in Western U.S.

The Science of the total environment
Groundwater is critical to water security in the arid and semi-arid Western U.S., yet a comprehensive, large-scale understanding of its response to climate variability and human activities remains elusive. This knowledge gap persists due to sparse ob... read more 

Explaining sleep disorders in children after earthquakes using SHAP modelling: Container City modelling.

Journal of pediatric nursing
BACKGROUND: It is well-known that sleep disturbances and sleep-related traumas are the most common symptoms experienced by children following a traumatic event. Our study aims to predict the factors affecting post-traumatic sleep disorders in childre... read more 

Multimodal Prediction of Periodontitis Using Root Exposure in Intraoral Images and Age.

International dental journal
INTRODUCTION AND AIMS: Despite advances in AI-based periodontitis screening, quantifiable and interpretable biomarkers from intraoral photographs remain underexplored. Therefore, this study aimed to develop a deep learning pipeline for exposed root a... read more 

Trends and developments in marine debris studies: A bibliometric review over two decades (2004-2024).

Marine pollution bulletin
Marine debris has become a serious global environmental issue due to its increasing impacts on marine ecosystems, biodiversity, and human health. Large amounts of waste enter the oceans each year from a wide range of sources, originating from both la... read more 

Quantitative scrutiny of biomass-derived battery electrodes: A strategic analysis.

Chemosphere
The escalating demand for sustainable energy storage necessitates innovative battery materials beyond conventional systems. Biomass-derived carbons and their composites demonstrate significant improvements in electrochemical performance, with specifi... read more