AI Medical Compendium

Machine learning and meningitis prediction in pediatric invasive pneumococcal disease: a retrospective single-center study.

BMC infectious diseases Apr 21, 2026

Explainable machine learning-based mortality prediction in critically Ill patients with rheumatoid arthritis-associated lung disease: a radiomics and clinical data integration study.

BMC medical imaging Apr 21, 2026

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study.

BMC medical informatics and decision making Apr 21, 2026

The mediating role of deep learning approach between the proactive personality and innovative behavior of undergraduate nursing students.

BMC nursing Apr 21, 2026

Identification of oral squamous cell carcinoma by an electronic nose based on an array of metal oxide sensors with machine learning.

BMC oral health Apr 21, 2026

Full-DIA enables complete single-cell proteomics from diaPASEF using deep learning.

Genome biology Apr 21, 2026

diaPASEF improves ion utilization and sensitivity by synchronizing quadrupole isolation with trapped ion mobility separation, making it suitable for single-cell proteomics. We present Full-DIA, a deep learning-driven software that enhances proteome c... read more

Knowledge, attitude, and perception of artificial intelligence among medical residents in Oman: readiness for clinical practice.

BMC medical education Apr 21, 2026

To include or not to include? A prescription from the pharmacy on how to use active learning-assisted screening in systematic reviews.

Systematic reviews Apr 21, 2026

BACKGROUND: Systematic reviews are essential for evidence-based decision-making, but the screening stage is often labor-intensive and susceptible to human error. Machine learning (ML) approaches, including active learning (AL), have increasingly been... read more

Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.

Journal of translational medicine Apr 21, 2026

BACKGROUND: Gestational diabetes mellitus (GDM) remains a prevalent and heterogeneous pregnancy complication with limited strategies for early identification. We aimed to investigate efficient approaches for early prediction of GDM with clinical and ... read more

Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity.

Journal of cheminformatics Apr 21, 2026

BACKGROUND: Proteins regulate diverse biological processes through interactions with other molecules, including RNAs. RNA-binding proteins (RBPs) are essential regulators of gene expression, forming specific mRNA-protein interactions (mRPIs) that inf... read more

Artificial Intelligence Medical Compendium

Machine learning and meningitis prediction in pediatric invasive pneumococcal disease: a retrospective single-center study.

Explainable machine learning-based mortality prediction in critically Ill patients with rheumatoid arthritis-associated lung disease: a radiomics and clinical data integration study.

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study.

The mediating role of deep learning approach between the proactive personality and innovative behavior of undergraduate nursing students.

Identification of oral squamous cell carcinoma by an electronic nose based on an array of metal oxide sensors with machine learning.

Full-DIA enables complete single-cell proteomics from diaPASEF using deep learning.

Knowledge, attitude, and perception of artificial intelligence among medical residents in Oman: readiness for clinical practice.

To include or not to include? A prescription from the pharmacy on how to use active learning-assisted screening in systematic reviews.

Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.

Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity.

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