OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival prediction and risk stratification in patients with heart failure.
OBJECTIVES: Siamese neural networks (SNN) were used to classify the presence of radiopaque beads as part of a colonic transit time study (CTS). The SNN output was then used as a feature in a time series model to predict progression through a CTS.
European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
Jun 7, 2023
Nipple-sparing mastectomy (NSM) is used to improve cosmetic outcomes while maintaining oncological safety in patients with early breast cancer; however, NSM requires a higher level of skill and workload than mastectomy and is associated with long, vi...
INTRODUCTION: Robotic-assisted surgery in select patients has been shown to result in less peri-operative morbidity. Few studies have explored the association of robotic-assisted gynecology oncology surgery complication rates and increasing age. Our ...
INTRODUCTION: Artificial intelligence (AI) has been on the rise in the field of pathology. Despite promising results in retrospective studies, and several CE-IVD certified algorithms on the market, prospective clinical implementation studies of AI ha...
AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images to predict programmed death-ligand 1 (PD-L1) expression in patients with non-small-cell lung cancer (NSCLC).
INTRODUCTION: Robotic pancreaticoduodenectomy (rPD) is a complex operation with a reported learning curve of 80 cases. Two recent graduates of a formal robotic complex general surgical oncology training program have been performing rPD at our institu...
We compared the surgical outcomes of robot-assisted laparoscopic hysterectomy (RAH) and total laparoscopic hysterectomy (TLH). This single-center cohort study compared 139 RAH cases from January, 2017 to September, 2021 and 291 TLH cases between Janu...
Academic medicine : journal of the Association of American Medical Colleges
Jun 5, 2023
PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee assessments. Use of simulation as an assessment tool is limited by access to trained examiners, cost, and concerns with interrater reliability. Devel...
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