Background The determination of surgeons' psychomotor skills in minimally invasive surgery
techniques is one of the major concerns of the programs of surgical training in several …

Background The increasing use of robot-assisted surgery (RAS) has led to the need for new
methods of assessing whether new surgeons are qualified to perform RAS, without the …

Purpose Classic methods of surgery skills evaluation tend to classify the surgeon
performance in multi-categorical discrete classes. If this classification scheme has proven to …

Purpose Multi-and cross-modal learning consolidates information from multiple data sources
which may offer a holistic representation of complex scenarios. Cross-modal learning is …

Despite concerted efforts over the last three decades, upper-extremity robotic rehabilitation
has yet to reach its full potential. We assert that assuming the goal of robotic rehabilitation is …

(1) Background: Design thinking is a problem-solving approach that has been applied in
various sectors, including healthcare and medical education. While deep learning (DL) …

Due to the high sensitivity and complexity of robotic surgery tasks, acquiring appropriate skill
levels by trainee surgeons through an effective training process is very important and affects …

Objective: Robotic-assisted minimally invasive surgery (RAMIS) became a common practice
in modern medicine and is widely studied. Surgical procedures require prolonged and …

Purpose The JIGSAWS dataset is a fixed dataset of robot-assisted surgery kinematic data
used to develop predictive models of skill. The purpose of this study is to analyze the …

Incidence rate of mental illness is increasing year by year with the development of city. The
amount of modern medical data is huge and complex. In many cases, it is difficult to realize …