AI Medical Compendium

Prediction models for adherence to cardiac rehabilitation programs in patients with cardiovascular disease: a scoping review.

BMC medical informatics and decision making Feb 19, 2026

Blending simulation and e-learning in medical education to enhance professional competence and skills acquisition.

BMC medical education Feb 19, 2026

Deep generative hidden Markov models for synthetic patient data generation: a novel approach for medical AI research.

BMC medical informatics and decision making Feb 19, 2026

SCMO: a deep learning model integrating the single-cell resolution TME ecosystem and multi-omics for survival prediction in CRC patients.

Journal of translational medicine Feb 19, 2026

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of global cancer mortality, highlighting the need for precise survival prediction to guide clinical decisions. Although tissue-level multi-omics is widely utilized for survival prediction, i... read more

KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model.

BioData mining Feb 19, 2026

BACKGROUND: Identification of microbes with large impacts on their microbial communities, known as keystone microbes, is a topic of long-standing interest in microbiome research. However, many approaches to identify keystone microbes are limited by t... read more

Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety.

BMC nursing Feb 19, 2026

AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support.

Journal of translational medicine Feb 19, 2026

BACKGROUND: CRISPR-based genetic screening has become a central methodology in functional genomics, enabling systematic interrogation of gene function, genetic interactions and context-dependent vulnerabilities at scale. However, the rapid expansion ... read more

Computational insights into the natural phage endolysin linker landscape.

BioData mining Feb 19, 2026

Digital health technologies in medicine: evidence, artificial intelligence integration, and ethical challenges.

Infectious agents and cancer Feb 19, 2026

Prognostic models in populations with heart failure: a systematic review and meta-analysis.

Systematic reviews Feb 19, 2026

BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality, highlighting the need for reliable prognostic models. This study provides a systematic review and meta-analysis of prognostic models focused on mortality, hospitalizatio... read more

Artificial Intelligence Medical Compendium

Prediction models for adherence to cardiac rehabilitation programs in patients with cardiovascular disease: a scoping review.

Blending simulation and e-learning in medical education to enhance professional competence and skills acquisition.

Deep generative hidden Markov models for synthetic patient data generation: a novel approach for medical AI research.

SCMO: a deep learning model integrating the single-cell resolution TME ecosystem and multi-omics for survival prediction in CRC patients.

KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model.

Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety.

AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support.

Computational insights into the natural phage endolysin linker landscape.

Digital health technologies in medicine: evidence, artificial intelligence integration, and ethical challenges.

Prognostic models in populations with heart failure: a systematic review and meta-analysis.

Popular Topics

Recent Journals

Artificial Intelligence Medical Compendium

Stay Ahead of Medical AI

Popular Topics

Recent Journals