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Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.

The Lancet. Digital health
BACKGROUND: Determining the status of molecular pathways and key mutations in colorectal cancer is crucial for optimal therapeutic decision making. We therefore aimed to develop a novel deep learning pipeline to predict the status of key molecular pa...

Reducing retraction forces with tactile feedback during robotic total mesorectal excision in a porcine model.

Journal of robotic surgery
Excessive tissue-instrument interaction forces during robotic surgery have the potential for causing iatrogenic tissue damages. The current in vivo study seeks to assess whether tactile feedback could reduce intraoperative tissue-instrument interacti...

Automated recognition of objects and types of forceps in surgical images using deep learning.

Scientific reports
Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and s...

Ninety-day morbidity of robot-assisted redo surgery for recurrent rectal prolapse, mesh erosion and pelvic pain: lessons learned from 9 years' experience in a tertiary referral centre.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: With increasing follow-up of patients treated with minimally invasive ventral mesh rectopexy (VMR) more redo surgery can be expected for recurrent rectal prolapse, mesh erosion and pelvic pain. The aim of this study is to evaluate the 90-day mor...

Initial clinical experience with a novel flexible endoscopic robot for transanal surgery.

Techniques in coloproctology
BACKGROUND: The Flex Robotic System (Medrobotics, Raynham, MA, USA) is the first miniaturised flexible endoscopic robot that aims to allow surgical manoeuvres beyond the area currently reached by transanal endoscopic microsurgery. The aim of this stu...

Evaluation of the learning curve for robot-assisted rectal surgery using the cumulative sum method.

Surgical endoscopy
BACKGROUND: There is no clear evidence on the number of cases required to master the techniques required in robot-assisted surgery for different surgical fields and techniques. The purpose of this study was to clarify the learning curve of robot-assi...

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer.

Journal of visualized experiments : JoVE
Since their approval for clinical use, da Vinci surgical robots have shown great advantages in gastrointestinal surgical operations, especially in complex procedures. The high-quality 3-D visual, multijoint arm and natural tremor filtration allow the...

Early experience with the ARTISENTIAL articulated instruments in laparoscopic low anterior resection with TME.

Techniques in coloproctology
BACKGROUND: The notion of articulation in surgery has been largely synonymous with robotics. The ARTISENTIAL instruments aim at bringing advanced articulation to laparoscopy to overcome challenges in narrow anatomical spaces. In this paper, we presen...

Single-Port, Robot-Assisted Transanal Harvest of Rectal Mucosa Grafts for Substitution Urethroplasty.

Urology
OBJECTIVE: To describe a novel single-port, endorobotic technique for harvesting rectal mucosa grafts (RMGs) for urethral reconstruction.