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

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 Criteria:

• Patients with rectal cancer scheduled for robot-assisted rectal resection
• Intact preoperative urogenital/rectal function
• Full capability of consent

Exclusion Criteria:

• 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