BACKGROUND: Manual objective assessment of skill and errors in minimally invasive surgery have been validated with correlation to surgical expertise and patient outcomes. However, assessment and error annotation can be subjective and are time-consumi...
Automated skills assessment can provide surgical trainees with objective, personalized feedback during training. Here, we measure the efficacy of artificial intelligence (AI)-based feedback on a robotic suturing task. Forty-two participants with no...
Robot assisted surgery (RAS) is increasingly used, and besides conventional minimally invasive surgery (cMIS) surgeons are challenged to learn an increased array of skills. This study aimed to assess the influence of both learning curves on each othe...
BACKGROUND: Currently, widely used robotic surgical systems do not provide force feedback. This study aimed to evaluate the impact and benefits of a force feedback function on the suturing procedure.
OBJECTIVE: To analyze the effect of a new type of tension-reduced suture named "double W tension-reduced suture technique" on the abdominal scars following the da Vinci robot-assisted gastrectomy for severely obese patients.
INTRODUCTION: Video-based review of surgical procedures has proven to be useful in training by enabling efficiency in the qualitative assessment of surgical skill and intraoperative decision-making. Current video segmentation protocols focus largely ...
The international journal of medical robotics + computer assisted surgery : MRCAS
Oct 26, 2022
BACKGROUND: Postoperative pancreatic fistula (POPF) represents the most feared complication after distal pancreatectomy, and the possible role of robotic assistance in this setting is poorly investigated so far.
International journal of computer assisted radiology and surgery
Oct 25, 2022
OBJECTIVES: Manually-collected suturing technical skill scores are strong predictors of continence recovery after robotic radical prostatectomy. Herein, we automate suturing technical skill scoring through computer vision (CV) methods as a scalable m...
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruit...
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