AI Medical Compendium

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

Machine learning model to estimate momentary status of activities of daily living in people with early-stage Parkinson's disease: an experimental study in home setting.

Disability and rehabilitation. Assistive technology May 30, 2026

PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Parkinson's disease (PwPD) in the early stages using data measured in real home settings of PwPD. MATERI... read more

An AI-Driven Pipeline for Localization, Segmentation, and Classification of Carpal Tunnel Syndrome Using Ultrasound Images of the Median Nerve.

Hand (New York, N.Y.) May 30, 2026

BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagnosed by clinical suspicion supported by tools such as the CTS-6 questionnaire and ultrasound. While these tools are widely used and clinically valuable... read more

Artificial Intelligence Medical Compendium