minimally invasive appendectomy, minimally invasive oncologic rectal resection with total mesorectal excision
Conditions
Interventions
Group 1: Patients undergoing minimally invasive appendectomy, minimally invasive oncologic rectum resection with total mesorectal excision or the appropriately defined other minimally invasive surgery
Sponsors
Technische Universität Dresden
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: - Archived video recordings of minimally invasive surgery on the colorectum, upper gastrointestinal tract, hepatopancreatobiliary system, or other minimally invasive surgery on the thorax or abdomen. - Anonymization of video data - Legitimacy of data use in the context of this subproject: Institutional approval of data sharing in anonymized form or public availability of video data (e.g., online or in the context of scientific publications) - Clinical indication for minimally invasive appendectomy (subproject (B)), minimally invasive oncological rectal resection (subproject (C)) with total mesorectal excision, or for the minimally invasive surgery defined accordingly (subproject (D)).
Exclusion criteria
Exclusion criteria: Conversion of surgery to open surgical technique prior to appendix deposition (subproject (B)) or prior to total mesorectal excision (subproject (C)).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The primary objective of this study is to establish and investigate the validity of decentralized AI methods in the context of surgical (image) data analysis for predicting clinically relevant surgical outcome parameters. | — |
Countries
France, Germany
Contacts
Public ContactMarius Distler
Universitätsklinikum Carl Gustav Carus
Outcome results
None listed