Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery
Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery - a First-in-human Interventional Study
Technische Universität Dresden
12 participants
Feb 1, 2026
INTERVENTIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria3
- Patients with rectal cancer scheduled for robot-assisted rectal resection
- Intact preoperative urogenital/rectal function
- Full capability of consent
Exclusion Criteria6
- Previous/Second malignant disease \<5 years before diagnosis of rectal cancer
- Previous abdominal surgery, except for laparoscopic appendectomy, laparoscopic cholecystectomy or Cesarean section
- Pregnant or breastfeeding women
- Addiction or illness that prevent the person concerned from assessing the nature and scope of the clinical trial and its possible consequences
- indication that the participant is unlikely to comply with the trial protocoll (e.g. lack of compliance)
- official or court order for involuntary hospitalization
Interventions
Robot-assisted anterior rectal resection using daVinci® system as CE-marked gold standard with additional visualization of surgical assistance functions based on machine learning techniques
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT05652361