AI Medical Compendium

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

Diagnostic yield and cost of three-level H&E sectioning in prostate biopsies.

Journal of clinical pathology Jun 4, 2026

AIM: The traditional three-level H&E sectioning protocol for prostate biopsies was developed for ultrasound-guided systematic sampling and predates lesion-targeted biopsy approaches. Multiparametrical MRI (mpMRI) has improved detection of clinically ... read more

Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis.

Journal of neurology, neurosurgery, and psychiatry Jun 4, 2026

BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracranial aneurysm rupture status beyond established clinical risk stratification tools. However, reported performance is heterogeneous and the relative c... read more

Seeing is making: AI visualisation and genomic prediction.

Medical humanities Jun 4, 2026

The integration of artificial intelligence (AI) into genomics is reshaping not only how biological data are analysed, but how genomic knowledge is produced and operationalised in clinical practice. Earlier computational approaches relied on alphanume... read more

Artificial Intelligence Medical Compendium