AI Medical Compendium

Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BMJ paediatrics open May 21, 2026

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromic surveillance tools, including the WHO Severe Acute Respiratory Infection definition, demonstrate l... read more

Blocking MOXD1-derived ACOX1 peroxisome trafficking suppresses metabolic dysfunction-associated steatohepatitis.

Gut May 21, 2026

BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) has become a major global health burden yet effective pharmacological treatments remain scarce. Lipotoxicity is one of the central drivers of MASH, but the molecular regulators that ... read more

AJNR Study-Specific Guidelines for AI in Medical Imaging: Bridging Gaps in Reference Standard and Clinical Evaluation.

AJNR. American journal of neuroradiology May 21, 2026

The rapid proliferation of artificial intelligence (AI) applications in neuroradiology can lead to heterogeneous study design and reporting that impede reproducibility and clinical translation. To support authors submitting AI imaging research to AJN... read more

Temporal In Vitro Models of Skin Wound Healing Components: A Cell-Specific Framework for Acute and Chronic Repair Mechanisms.

Advances in wound care May 21, 2026

SIGNIFICANCE: Wound healing is as much about opportunity (Gk. Karios) and sequence (Gk. Chronos). The sequential healing responses involve concerted responses of cells of various lineages along with both soluble (cytokines and growth factors) and ins... read more

Evaluating the feasibility of a scalable, digitally supported model for global collaborative surgical research: protocol for a prospective, international, multicentre observational study in cryptoglandular anal fistula treatment (CRAFT).

BMJ open May 21, 2026

INTRODUCTION: Management of cryptoglandular anal fistula is characterised by wide variation in diagnostic strategies, surgical techniques and outcome reporting, limiting comparison between studies and hindering evidence-based guideline development. T... read more

Impact of COVID-19-related data drift on machine-learning prognostic models predicting 30-day opioid-related emergency department visits, hospitalisation or mortality: a population-level administrative data study in Alberta, Canada.

BMJ open May 21, 2026

OBJECTIVE: To develop machine-learning (ML) models during the COVID-19 pandemic and adjacent time periods to evaluate the impact of data drift on model performance. DESIGN: This prognostic study used population-level administrative health data to dev... read more

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

Journal of cardiovascular computed tomography May 21, 2026

BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched for major adverse cardiovascular events (MACE), a high burden of traditional risk factors, or prior exposure to risk-modifying therapies. In contrast, ... read more

Altered EEG markers of reward learning during abstinence in alcohol dependence: A probabilistic reversal learning study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 21, 2026

OBJECTIVE: This study investigated neurophysiological and behavioural adaptations in reward learning and decision making which may contribute to the development and persistence of alcohol use disorder. METHODS: 20 abstinent alcohol dependent particip... read more

[Automated analysis of mandibular movements for the screening of obstructive sleep apnea].

Revue des maladies respiratoires May 21, 2026

INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly among at-risk populations such as patients with obesity, diabetes, or chronic respiratory disease. There is a growing need for simplified, automated d... read more

FDG PET for cardiac sarcoidosis: Protocol optimization, quantification, pitfalls, and multimodality imaging integration.

Seminars in nuclear medicine May 21, 2026

Cardiac sarcoidosis (CS) is a clinically heterogeneous disorder associated with significant morbidity and mortality, including heart failure, conduction abnormalities, ventricular arrhythmias, and sudden cardiac death. Contemporary diagnostic strateg... read more

Artificial Intelligence Medical Compendium