Artificial Intelligence Medical Compendium

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

Showing 5,231 to 5,240 of 174,202 articles

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning.

Scientific reports Aug 18, 2025
Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performanc... read more 

Bioinformatic insights into five Chinese population substructures inferred from the East Asian-specific AISNP panel.

BMC genomics Aug 18, 2025
BACKGROUND: Recent advances in population-specific high-quality reference databases have significantly improved the performance of forensic panel development for personal identification, parentage testing, and biogeographical ancestry inference. Howe... read more 

A review of landfill odors assessment: Advancing from stationary measurement to spatiotemporal monitoring.

Waste management (New York, N.Y.) Aug 18, 2025
Odor issues from landfills remain a persistent environmental challenge, exacerbated by the increasing urbanization and the decreasing proximity of residential areas to waste disposal sites. Conventional odor measurement methods (e.g., olfactometry, g... read more 

Analysis of potential molecular targets and mechanisms of brominated flame retardants in causing osteoarthritis using network toxicology, machine learning, SHAP analysis, and molecular dynamics simulation.

BMC pharmacology & toxicology Aug 18, 2025
BACKGROUND: The commonly used brominated flame retardant (2,2’,4,4’-Tetrabromodiphenyl Ether, BDE-47) is a persistent organic pollutant that is widely distributed in the environment and is associated with adverse health effects, including an increase... read more 

Artificial intelligence-assisted optimization of Eichhornia crassipes extracts and evaluation of their biological activities.

Scientific reports Aug 18, 2025
In this research, the extraction conditions for Eichhornia crassipes (Mart.) Solms were optimized using Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) techniques to enhance the biological efficacy of the e... read more 

Citation integrity in the age of AI: evaluating the risks of reference hallucination in maxillofacial literature.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Aug 18, 2025
The increasing adoption of large language models (LLMs) such as ChatGPT in academic writing has introduced both opportunities and risks. While these tools enhance productivity and accessibility, their reliability in generating accurate references rem... read more 

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

The Lancet. Digital health Aug 18, 2025
BACKGROUND: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite inst... read more 

Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study.

Journal of medical Internet research Aug 18, 2025
BACKGROUND: Generative artificial intelligence (AI) for tabular synthetic data generation (SDG) has significant potential to accelerate health care research and innovation. A critical limitation of generative AI, however, is hallucinations. Although ... read more 

Modelling of acid brown 14 and acid yellow 36 dyes adsorption from water by self-nitrogen-doped activated carbon.

Scientific reports Aug 18, 2025
Acid Brown 14 (AB14) and Acid Yellow 36 (AY36) are synthetic azo dyes extensively utilized in numerous industries, resulting in detrimental environmental consequences. This study aims to manufacture self-nitrogen-doped porous activated carbon (AC7-80... read more 

Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images.

Scientific reports Aug 18, 2025
Land Cover and Land Use (LCLU) segmentation plays a fundamental role in various remote sensing applications, including environmental monitoring, urban planning, and disaster management. Traditional models often face limitations in real-time processin... read more 
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