AI Medical Compendium

Content Validation of the AI-TPACK-E: Assessing AI Literacy Among Nurse Educators.

Computers, informatics, nursing : CIN Jun 4, 2026

There is a critical need to assess nurse educators' competencies in artificial intelligence (AI), yet no validated assessment tool currently exists to measure their level of AI literacy. Developing such a tool is critical to guide targeted educationa... read more

Novel technologies for gastrointestinal cancer detection: a systematic review and meta-analysis of diagnostic accuracy.

Clinical and translational gastroenterology Jun 4, 2026

INTRODUCTION: Gastrointestinal (GI) cancers account for a quarter of all cancers and one-third of cancer-related deaths worldwide. Novel diagnostic approaches are crucial to enhance early detection and improve patient outcomes. This review systematic... read more

Intracellular acidification by microbiota-derived valeric acid facilitates trans-kingdom ecology limiting Candida parapsilosis colonization.

Cell host & microbe Jun 4, 2026

In hematopoietic cell transplant (HCT) patients, intestinal Candida parapsilosis expansion and translocation can cause life-threatening candidemia, yet whether commensal intestinal bacteria prevent Candida expansion remains incompletely defined. Here... read more

Plasma signals of lung tumor promotion for molecular cancer prevention.

Cell Jun 4, 2026

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) trial demonstrated reduced lung cancer incidence with interleukin (IL)-1β inhibition, the high number needed to ... read more

Deep learning of functional perturbations from condensate morphology.

Cell Jun 4, 2026

Biomolecular condensates compartmentalize the interior of cells to organize complex functions, yet linking molecular interactions within condensates to their mesoscale organization remains a major challenge. To bridge this gap, we developed a neural-... read more

Making Machine Learning Clinically Useful in Thrombosis and Hemostasis: A Roadmap for Diagnostic Translation.

Seminars in thrombosis and hemostasis Jun 4, 2026

Artificial intelligence (AI), most often in the form of machine learning (ML), attracts high expectations across medicine and is often discussed as a transformative, rapidly evolving topic. In thrombosis and hemostasis, these expectations are reinfor... read more

A clinical support tool using artificial intelligence to diagnose pulmonary hypertension.

The European respiratory journal Jun 4, 2026

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

BMJ open respiratory research Jun 4, 2026

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise capacity increase the risk of hospitalisations and death in chronic obstructive pulmonary disease (COPD). However, their monitoring relies on in-person ... read more

How Following Medical Artificial Intelligence Advice Can Mitigate Malpractice Liability: Cross-National Insights from a Randomized Trial.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jun 4, 2026

Artificial intelligence (AI) increasingly influences clinical decision-making, yet its recommendations may diverge from standard care. Although malpractice concerns are thought to discourage physicians from following AI advice, experimental evidence ... read more

AI-based oculomics for trajectory-driven risk stratification of pathologic myopia in paediatric high myopia.

The British journal of ophthalmology Jun 4, 2026

AIMS: To identify early oculomic biomarkers predictive of pathologic myopia (PM) in children with high myopia (HM) and to develop an artificial intelligence (AI)-based model for individualised risk stratification. METHODS: This prospective longitudin... read more

Artificial Intelligence Medical Compendium