AI Medical Compendium

PatchGAN-guided semi-supervised U-Net for carotid plaque segmentation in ultrasound under limited annotation conditions.

BMC medical imaging Jul 16, 2026

OBJECTIVE: Artificial intelligence models are increasingly used for stroke risk evaluation and clinical decision-making. However, the scarcity of expert masks, low contrast, and noise in ultrasound images affect segmentation performance. METHODS: Our... read more

Development and validation of a routine blood test-based model to predict in-hospital postoperative pulmonary infection in older patients with hip fracture.

BMC geriatrics Jul 16, 2026

BACKGROUND: Postoperative pulmonary infection (PPI) is a common and serious complication in older adults undergoing hip fracture surgery, leading to prolonged hospitalization, increased costs, and increased mortality. However, simple and reliable pre... read more

Incremental prognostic value of AI-based coronary CT angiography combined with PET/CT dynamic myocardial perfusion imaging in patients with suspected or confirmed coronary artery disease.

BMC cardiovascular disorders Jul 16, 2026

BACKGROUND: Coronary computed tomography angiography (CCTA) and positron emission tomography/computed tomography (PET/CT) myocardial perfusion imaging (MPI) provide complementary anatomical and functional information for coronary artery disease (CAD)... read more

Den-SOFA: Dental Student Outcome Forecasting Assistant using explainable machine learning models.

BMC medical education Jul 16, 2026

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are increasingly being explored in dental education to support academic assessment and identify students at risk of poor performance. However, predictive modeling in this setting rema... read more

Development of the nursing artificial intelligence readiness scale for nursing students: a validity and reliability study.

BMC nursing Jul 16, 2026

BACKGROUND: The rapid integration of artificial intelligence (AI) into healthcare has amplified the need for nurses who can engage with AI-supported systems safely and effectively. Assessing nursing students' AI readiness through a psychometrically s... read more

Methods to assess trustworthiness of data from peer-reviewed, published randomised controlled trials.

Reproductive biology and endocrinology : RB&E Jul 16, 2026

BACKGROUND: Untrustworthy randomised controlled trials (RCTs) and other study types are an increasingly recognised problem in health and medical research. Assessing and responding to this problem is essential for ensuring the reliability of scientifi... read more

Earlier medically ready for discharge date entry associated with lower unnecessary bed days.

BMC health services research Jul 16, 2026

BACKGROUND: Discharge planning plays a critical role in managing patient hospital length of stay. We report on the implementation of a program in a large hospital system where health care providers were requested to estimate and record the Medically-... read more

Effectiveness of an AI-augmented teacher feedback model in improving medical students' clinical documentation skills: a retrospective cohort study.

BMC medical education Jul 16, 2026

BACKGROUND: Clinical documentation is central to evaluating medical students' clinical competence. However, traditional teacher feedback is often inefficient, inconsistent, or delayed. This study evaluates the effectiveness of an AI-augmented teacher... read more

Glycosylation-related gene risk model and functional validation of OSTC and TUBA1C in lung adenocarcinoma.

Respiratory research Jul 16, 2026

INTRODUCTION: OSTC and TUBA1C drive the malignant progression of lung adenocarcinoma (LUAD) through the modulation of N-glycosylation and the PI3K/AKT signaling pathway; Silencing these two genes markedly suppresses the malignant phenotypes of tumor ... read more

Bioinformatics identification of candidate biomarkers associated with T cell proliferation in atherosclerosis via WGCNA and machine learning.

Journal of cardiothoracic surgery Jul 16, 2026

BACKGROUND: Atherosclerosis (AS) is a complex chronic disease caused by the development of atherosclerotic plaques. T cell proliferation exerts a vital influence on development of the AS. This research aimed to conduct a comprehensive analysis to com... read more

Artificial Intelligence Medical Compendium