AI Medical Compendium

Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.

European respiratory review : an official journal of the European Respiratory Society May 27, 2026

Severe asthma remains a challenging, heterogeneous condition, despite significant advances in therapeutic strategies. A subset of patients continues to experience poor control, frequent exacerbations and a high burden of disease. The advent of multi-... read more

Voice-assisted artificial intelligence in cardiovascular disease management: a systematic review and meta-analysis protocol.

BMJ open May 27, 2026

INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of global morbidity and mortality, with self-management playing a pivotal role in improving outcomes. Voice-assisted artificial intelligence (AI) technologies such as virtual assistan... read more

Machine learning-based prediction of a high-risk kidney function trajectory class after acute kidney injury.

BMJ health & care informatics May 27, 2026

OBJECTIVES: Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progression. This study developed a machine learning (ML) model to predict membership in a high-risk longitu... read more

Stage-Associated Subgingival Dysbiosis Across the Periodontal Disease Spectrum in a Thai Cohort.

Journal of clinical periodontology May 27, 2026

AIMS: This cross-sectional study aimed to investigate the subgingival microbiota and predict functional profiles across the 2018 EFP/AAP periodontal disease spectrum in a Thai clinical cohort. MATERIALS AND METHODS: Subgingival plaque from 100 partic... read more

What do UK hospice websites communicate about the meaning of palliative care?

BMJ supportive & palliative care May 27, 2026

OBJECTIVES: Hospice websites are an important source of information for the public. This study examined whether information communicated about palliative care aligned with WHO and the International Association for Hospice and Palliative Care (IAHPC) ... read more

Interpretable machine learning model using peripheral blood for non-invasive detection of moderate-to-severe myelofibrosis in JAK2 V617F-positive MPNs: A multicentre pilot proof-of-concept study.

British journal of haematology May 27, 2026

Progression to moderate-to-severe myelofibrosis (MF) in JAK2 V617F-positive myeloproliferative neoplasms (MPNs) is often clinically silent, and bone marrow biopsy is invasive and unsuitable for regular monitoring. In this multicentre pilot proof-of-c... read more

Integrating Structural and Functional Ultrasound Carotid Assessment in a Single Software Platform: Development and Feasibility Evaluation.

Ultrasound in medicine & biology May 27, 2026

BACKGROUND: The extensive assessment of vascular health requires the integration of both structural and functional (hemodynamic) parameters. These are usually obtained by fragmented technologies and different signals (e.g., imaging, tonometry). In th... read more

Re: Navid Roessler, Marcin Miszczyk, Keiichiro Miyajima, et al. Harnessing Artificial Intelligence for Risk Stratification and Outcome Prediction in Urologic Cancers: A Systematic Review. Eur Urol Focus 2025; S2405-4569(25)00362-1. In press. http://dx.doi.org/10.1016/j.euf.2025.12.007.

European urology focus May 27, 2026

Comment on "An exploratory study on predicting depressive symptoms in autistic individuals using wearable devices and machine learning".

Journal of the Formosan Medical Association = Taiwan yi zhi May 27, 2026

Response to the comment on "An exploratory study on predicting depressive symptoms in autistic individuals using wearable devices and machine learning".