Artificial Intelligence Medical Compendium

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

Showing 38,931 to 38,940 of 223,469 articles

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 

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 

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 

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 

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 

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 

Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework.

JMIR formative research Mar 24, 2026
BACKGROUND: While artificial intelligence (AI)-assisted diagnostic software holds promise for improving diagnostic efficiency and reducing disparities in health care delivery, its effective implementation in lower-tier health care settings remains li... read more 

Privacy and Security Throughout the Health Data Life Cycle: From Primary Care to Research Networks.

Annual review of biomedical data science Mar 24, 2026
Health data are increasingly generated, shared, and analyzed across an ever-growing collection of settings. While these developments enable new forms of biomedical discovery and clinical decision support, they also introduce evolving privacy, securit... read more 

3d-Transition Metal Doped Axially Coordinated Phthalocyanine Molecules as Highly Active Electrocatalysts for Oxygen Evolution/Reduction Reactions: A Machine Learning and DFT Study.

Langmuir : the ACS journal of surfaces and colloids Mar 24, 2026
The electrocatalytic oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) are key processes in renewable energy technologies, which are important for improving the energy conversion efficiency and promoting sustainable development. Des... read more 

Stability and Generalization for Distributed SGDA.

IEEE transactions on pattern analysis and machine intelligence Mar 24, 2026
Minimax optimization is gaining increasing attention in modern machine learning applications. Driven by large-scale models and massive volumes of data collected from edge devices, as well as the concern to preserve client privacy, distributed minimax... read more 
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