AI Medical Compendium

Extracellular vesicle and particle biomarkers in cancer: a machine learning blueprint for liquid biopsy.

Journal of nanobiotechnology May 30, 2026

The combination of machine learning and liquid biopsy is rapidly promoting the development of precision cancer diagnosis. Extracellular vesicles and particles (EVPs) are liquid biopsy markers with great diagnostic value due to their unique structure,... read more

Artificial intelligence-assisted feedback in pharmacology education: a pilot evaluation of a custom generative model.

BMC medical education May 30, 2026

BACKGROUND: Timely, individualised feedback is central to effective learning in medical education but remains resource intensive, particularly when based on short answer questions (SAQs). Large language models (LLMs) offer potential to support feedba... read more

Use of virtual reality simulation in preparation for practical training in healthcare education - a mixed method study with students and educators.

BMC medical education May 30, 2026

INTRODUCTION: Simulation-based education promotes active learning and reflective practice in healthcare education. With the advancement of immersive technologies, virtual reality (VR) enables simulation of complex clinical interactions in a safe and ... read more

Development and external validation of multiple machine learning-based models for breast cancer-specific survival prediction in postoperative patients with invasive breast cancer: a study based on the SEER database and an external cohort.

BMC cancer May 30, 2026

BACKGROUND: Patients with invasive breast cancer (IBC) account for the vast majority of breast cancer cases and exhibit significant heterogeneity; hence, it is necessary to develop a model that can accurately predict their long-term postoperative bre... read more

Machine learning prediction of long-term postoperative pneumonia risk: a retrospective cohort study.

BMC medical informatics and decision making May 30, 2026

BACKGROUND: Postoperative pneumonia is a significant complication, highlighting a patient's ongoing vulnerability. While traditional tools focus on short-term outcomes, the perioperative period offers a unique "stress test" window to identify high-ri... read more

Organoids as next-generation models for investigating intracranial tumours.

Molecular brain May 30, 2026

Tumour organoids have emerged as important tools in brain tumour research, addressing long-standing limitations of conventional two-dimensional cultures, xenograft models, and genetically engineered mouse models. By preserving patient-specific geneti... read more

Prediction models for postpartum post-traumatic stress disorder: a systematic review and meta-analysis.

BMC psychiatry May 30, 2026

BACKGROUND: Despite the increasing number of studies on prediction models for identifying the risk of postpartum post-traumatic stress disorder (PP-PTSD), the quality and clinical applicability of these models have not been clarified yet. OBJECTIVES:... read more

Machine learning prediction of PICC-associated thrombotic complications in critically ill patients.

BMC medical informatics and decision making May 30, 2026

BACKGROUND: Peripherally inserted central catheters (PICCs) are widely used vascular access devices in intensive care, yet thrombotic complications remain a significant clinical concern. Traditional risk assessment tools fail to capture the complex, ... read more

AI-assisted preoperative planning improves component sizing accuracy in Oxford unicompartmental knee arthroplasty: a retrospective cohort study with 24-month follow-up.

Journal of orthopaedic surgery and research May 30, 2026

BACKGROUND: Accurate implant sizing is critical for clinical outcomes in Oxford unicompartmental knee arthroplasty (UKA), yet reliable preoperative planning remains challenging. This study aimed to evaluate whether AI-assisted preoperative planning i... read more

Machine learning prediction of sudden cardiac death incorporating multiple lipid markers: evidence from the Taiwan Chin Shan community cohort.

Lipids in health and disease May 30, 2026

BACKGROUND: Sudden cardiac death (SCD) is a major contributor to cardiovascular mortality, but reliable long-term risk prediction in community-based populations remains limited. Machine learning (ML) offers potential advantages, yet its application t... read more

Artificial Intelligence Medical Compendium