Tests an AI guidance system during robot-assisted rectal cancer surgery
Tests an image-recognition guidance system for surgeons in adults with rectal cancer.
Plain-language title generated from the registry record
Registry title: Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery
Key facts
- Where
- Dresden, GermanySee the site
Where in Germany
- Department of Visceral, Thoracic and Vascular Surgery University Hospital Carl Gustav Carus Technische Universität DresdenDresden, GermanyTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Technische Universität Dresden
- Trial code
- NCT05652361
- Record updated
- 27 August 2026
- Original description
The aim of the study is to evaluate the technical feasibility and applicability of a surgical assistance system based on image recognition algorithms in a first-in-human pilot study. In addition, this study will provide preliminary data on the oncological outcome of the assistance system.Read full original descriptionShow less
Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery - a First-in-human Interventional Study
The aim of the study is to evaluate the technical feasibility and applicability of a surgical assistance system based on image recognition algorithms in a first-in-human pilot study. In addition, this study will provide preliminary data on the oncological outcome of the assistance system.
Inclusion: Patients with rectal cancer scheduled for robot-assisted rectal resection; Intact preoperative urogenital/rectal function; Full capability of consent.
Exclusion: Previous/Second malignant disease <5 years before diagnosis of rectal cancer; Previous abdominal surgery, except for laparoscopic appendectomy, laparoscopic cholecystectomy or Cesarean section; Addiction or illness that prevent the person concerned from assessing the nature and scope of the clinical trial and its possible consequences; Pregnant or breastfeeding women; indication that the participant is unlikely to comply with the trial protocoll (e.g. lack of compliance); official or court order for involuntary hospitalization.