Artificial Intelligence Medical Compendium

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

Showing 39,161 to 39,170 of 223,737 articles

Understanding User Intent in Code-Mixed Sexual and Reproductive Health Queries in Urban India: Hierarchical Classification Approach Using Large Language Models.

Journal of medical Internet research Mar 24, 2026
BACKGROUND: Sexual and reproductive health (SRH) remains a stigmatized and taboo topic globally, limiting access to reliable information. These challenges are heightened in the Global South, where linguistic and cultural diversity further complicates... read more 

Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis.

PLOS digital health Mar 24, 2026
Despite advances in deep learning and transformer architectures, prior reviews have focused narrowly on traditional clinical decision support systems (CDSS) or single medical domains, leaving significant gaps in understanding contemporary AI-driven p... read more 

Improving the composition of donor milk using machine learning and optimisation techniques.

PloS one Mar 24, 2026
BACKGROUND AND AIMS: The macronutrient composition of donor human milk (DHM) can vary substantially due to several factors such as maternal age, diet, and lactation duration. However, consistent macronutrient levels in DHM facilitate the administrati... read more 

Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism.

PloS one Mar 24, 2026
As a critical material for stainless steel production, electric vehicle (EV) batteries, and advanced technology alloys, nickel plays a pivotal role in the global energy transition, with its strategic value becoming increasingly evident. This study pr... read more 

An integrated model of financial socialization, technology, and financial capability in predicting financial well-being.

PloS one Mar 24, 2026
This study develops and empirically tests an integrated framework that explains how financial socialisation, technological factors, and financial capability jointly shape financial behaviour and in an emerging economy context. Using data from 306 Vie... read more 

Wild mushroom consumption susceptibility among Chinese university students: A machine learning study.

PloS one Mar 24, 2026
OBJECTIVES: To investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key predictors for targeted intervention development. METHODS: A cross-sectional survey of 216 Chinese unive... read more 

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction.

PLoS computational biology Mar 24, 2026
MOTIVATION: The precise prediction of peptide-protein interaction (PepPI) is a core support for promoting breakthroughs in peptide drug research, as well as understanding the regulatory mechanisms of biomolecules. Researchers have developed several c... read more 

MXtalTools: A Toolkit for Machine Learning on Molecular Crystals.

Journal of chemical information and modeling Mar 24, 2026
We present MXtalTools, a flexible Python package for the data-driven modeling of molecular crystals, facilitating machine learning studies of the molecular solid state. MXtalTools comprises several classes of utilities: (1) synthesis, collation, and ... read more 

Postgraduate students' perceptions of artificial intelligence integration in research: A cross-sectional study.

PloS one Mar 24, 2026
BACKGROUND: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly used in academic research, yet evidence on postgraduate students' perceptions remains limited in non-Western and health-professional contexts. Understanding ho... read more 

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study.

JMIR formative research Mar 24, 2026
BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains complex due to organizational constraints, interprofessional coordination, and administrative demands. Despite ongoing digitalization efforts, many h... read more 
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