A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

Importance An increasing number of machine learning (ML)–based clinical decision support
systems (CDSSs) are described in the medical literature, but this research focuses almost …

Objective: A scoping review of the literature was conducted to identify intraoperative artificial
intelligence (AI) applications for robotic surgery under development and categorize them by …

Objective: The aim of this study was to define reporting standards for IDEAL format studies.
Background: The IDEAL Framework and Recommendations establish an integrated …

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide,
requiring new frameworks for evaluation. However, evaluation during a surgical robot's …

OBJECTIVE Surgical workflow analysis involves systematically breaking down operations
into key phases and steps. Automatic analysis of this workflow has potential uses for surgical …

Introduction Artificial intelligence (AI) encompasses a wide range of algorithms with risks
when used to support decisions about diagnosis or treatment, so professional and …

1Department of Radiology and Research Institute of Radiology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea; 2Department of Radiology, Seoul St …

Systematic reviews and meta-analyses play an essential part in guiding clinical practice at
the point of care, as well as in the formulation of clinical practice guidelines and health policy …

Objective: The aim of this study was to develop an evidence-based framework for evaluation
of therapeutic devices, based on ethical principles and clinical evidence considerations …