AI Medical Compendium

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

What's next for VI-RADS? Updates and future perspectives from the ACR VI-RADS steering committee.

Cancer imaging : the official publication of the International Cancer Imaging Society May 30, 2026

Since the introduction of the Vesical Imaging-Reporting and Data System (VI-RADS), MRI has become an important imaging modality in the management of patients with bladder cancer. Its excellent diagnostic performance for determining muscle invasion in... read more

ABCC2 as a novel therapeutic target in lung adenocarcinoma: a machine learning-driven discovery linking ammonia metabolism to prognosis and drug resistance.

Journal of translational medicine May 30, 2026

BACKGROUND: Ammonia, long regarded as a metabolic waste product, has recently been recognized as a pivotal oncometabolite in the tumor microenvironment, contributing to cancer progression and immune evasion. However, its prognostic value and therapeu... read more

Artificial Intelligence Medical Compendium