Machine Learning-based Surgical Guidance System for Robot-assisted Rectal Surgery

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 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

Conditions2

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