Not Yet Recruiting OBSERVATIONAL NCT05797064

Establishment of a Feasibility Model for NOSE Surgery Based on Machine Learning

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

Sponsor: Sixth Affiliated Hospital, Sun Yat-sen University

Conditions Machine Learning Natural Orifice Specimen Extraction Surgery Rectosigmoid Cancer Surgery

Interventions Natural Orifice Specimen Extraction Surgery

Updated 4 times since 2023 Last updated: Apr 3, 2023 Started: Jun 1, 2023 Primary completion: Jun 1, 2026 Completion: Jun 1, 2026

This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

Listed as NCT05797064, this observational or N/A phase trial focuses on Machine Learning and Natural Orifice Specimen Extraction Surgery and remains actively recruiting participants. Sponsored by Sixth Affiliated Hospital, Sun Yat-sen University, it has been updated 4 times since 2023, reflecting limited change activity. This study contributes to the evolving evidence base for cancer treatment protocols.

Status Flow

Change History

4 versions recorded

Sep 2025 — Present [monthly]

Not Yet Recruiting
Sep 2024 — Sep 2025 [monthly]

Not Yet Recruiting
Jul 2024 — Sep 2024 [monthly]

Not Yet Recruiting
May 2023 — Jul 2024 [monthly]

Not Yet Recruiting

First recorded

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:

Sixth Affiliated Hospital, Sun Yat-sen University

Data source: Sixth Affiliated Hospital, Sun Yat-sen University

For direct contact, visit the study record on ClinicalTrials.gov .

Study Locations

• Guangzhou, China