Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs, training will need to be adapted to include strategies to train across various consoles. These new...
The emergence of robotics in surgery has led to a recent boom in the acceptance of such technology. This technology has been rapidly adopted in various fields, with the most prominent being general surgery. The number of abdominal procedures being pe...
We aimed to report a comprehensive outcome analysis of robot-assisted laparoscopic prostatectomies (RALP) performed by a single surgeon and compared it to retropubic radical prostatectomies (RRP) done by the same surgeon in a high-volume center. Preo...
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...
Hernia : the journal of hernias and abdominal wall surgery
Oct 6, 2022
PURPOSE: Robot-assisted groin hernia repair is becoming more popular in recent years but may remove operations from surgical trainees. We aimed to investigate the educational level of the surgeons who performed robot-assisted groin hernia repair and ...
Recent advances in optical and robotic technologies have given surgeons high-definition eyes and precision hands that perform beyond human capabilities. This has expanded the scope of minimally invasive surgery and increased opportunities for surgery...
BACKGROUND: Standard laparoscopy (SL) is responsible for musculoskeletal disorders in surgeons because of poor ergonomic positions, which could be reduced by robot-assisted laparoscopy (RAL) owing to the surgeons' seated position. One of the aims of ...
BACKGROUND: Personalized medicine requires the integration and analysis of vast amounts of patient data to realize individualized care. With Surgomics, we aim to facilitate personalized therapy recommendations in surgery by integration of intraoperat...
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...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.