Skip to content
Pharma Observatory a Scientist.com platform

Clinical trial

Establishment of a Feasibility Model for Predicting Natural Orifice Specimen Extraction Surgery (NOSES) Based on Machine Learning.

NCT05797064 is registered in ClinicalTrials.gov with Sixth Affiliated Hospital, Sun Yat-sen University as lead sponsor.

Email me this page as a PDF

Search trials, sites, companies and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Get the NCT05797064 report as a PDF

The PDF carries up to 50 rows of each section, where the page shows the first few, with the sources listed. Enter a work email and confirm it from the message we send, and the report follows by email.

Registry record

As filed in ClinicalTrials.gov.

Title
Establishment of a Feasibility Model for Predicting Natural Orifice Specimen Extraction Surgery (NOSES) Based on Machine Learning.
Lead sponsor
Sixth Affiliated Hospital, Sun Yat-sen University
Phase
Observational
Overall status
Unknown status
Start date
June 1, 2023
Completion date
June 1, 2026
Enrollment
460 (estimated)
Sites
1

Conditions

As the registry lists them; a condition with its own page is linked.

machine learning, natural orifice specimen extraction surgery, rectosigmoid cancer, surgery