Artificial Intelligence Medical Compendium

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

Showing 38,671 to 38,680 of 223,469 articles

International Delphi consensus on acute kidney injury: Foundations for AI-driven digital twin development in critical care nephrology.

PloS one Mar 25, 2026
BACKGROUND: Acute kidney injury (AKI) in critically ill patients is clinically complex and heterogeneous, limiting the development of structured simulation models. Digital twin approaches require clearly defined causal relationships grounded in exper... read more 

Modeling diarrhea in children under five in Somaliland: A machine learning analysis using SLDHS 2020 data.

PloS one Mar 25, 2026
BACKGROUND: Diarrhea remains a leading cause of morbidity and mortality among children under five years of age, particularly in low- and middle-income countries. This study investigated the prevalence and determinants of diarrhea in Somaliland using ... read more 

DRFC: An efficient cloud-based feature reduction and clustering algorithm for agricultural product and remote-sensing imagery.

PloS one Mar 25, 2026
The recent surge in digital agriculture has generated an emerging demand for scalable, resource-efficient solutions capable of handling both close-range images of agricultural products and high-scale remote-sensing images. Deep learning models have h... read more 

Development and validation of a prediction model for long-term cognitive frailty risk in stroke patients based on CHARLS data.

PloS one Mar 25, 2026
BACKGROUND: This study aimed to develop and validate machine learning (ML) models for predicting the risk of cognitive frailty in community-dwelling elderly adults with stroke. METHODS: This study involved 2,325 stroke survivors from the China Health... read more 

Transformer-based deep learning model for real-time prediction of intraoperative hypotension using dynamic time-series vital signs: A retrospective study.

PLoS medicine Mar 25, 2026
BACKGROUND: The clinical importance of transient intraoperative hypotension (IOH) remains debated, and existing models often rely on high-resolution waveform data that are not routinely available. METHODS AND FINDINGS: We developed a Transformer-base... read more 

Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China.

PloS one Mar 25, 2026
PURPOSE: Aims to use machine learning to predict the risk of small for gestational age (SGA) and identify its important predictors. METHODS: This is a retrospective cohort study conducted from December 20, 2023, to May 20, 2024, focusing on newborns ... read more 

Residual metric learning with class-specific consistency for multiclass classification.

PloS one Mar 25, 2026
Least squares regression (LSR) has been widely used in pattern recognition due to its concise form and ease of solution. However, inadequate exploration of inter-class margin and intra-class similarity limits its discriminative ability. To this end, ... read more 

Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental Validation.

Chemical research in toxicology Mar 25, 2026
In recent years, the rapid increase in the production and environmental release of synthetic organic chemicals has raised serious concerns about their potential adverse effects on human health and the environment. Repeated exposure to such substances... read more 

Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.

PLoS computational biology Mar 25, 2026
Understanding protein sequence-to-function relationship is crucial to assist studies of genetic diseases, protein evolution, and protein engineering. The sequence-to-function relationship of proteins is inherently complex due to multi-site high-dimen... read more 

Altered morphology and diffusivity of water confined in MXenes: Machine learning-accelerated computations combined with experiments.

Science advances Mar 25, 2026
Nanoconfined water exhibits unique properties compared to bulk water due to limited quantities, frustrated hydrogen bonding, and surface interactions, which are fundamental for energy storage and transport applications. We integrate machine learning-... read more 
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