# Implementation of Surgical Safety and Intraoperative Metastasis Identification Through Deep Learning: Multicentric Video Collection for Minimally Invasive Sentinel Lymph Node Dissection in Uterine Malignancies

> **NCT06619002** · — · RECRUITING · sponsor: **Fondazione Policlinico Universitario Agostino Gemelli IRCCS** · enrollment: 100 (estimated)

## Conditions studied

- Endometrial Cancer
- Cervical Cancer
- Deep Learning
- Artificial Intelligence

## Interventions

- **PROCEDURE:** Sentinel lymph node sampling

## Key facts

- **NCT ID:** NCT06619002
- **Lead sponsor:** Fondazione Policlinico Universitario Agostino Gemelli IRCCS
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2024-09-17
- **Primary completion:** 2026-09-30
- **Final completion:** 2027-09-30
- **Target enrollment:** 100 (ESTIMATED)
- **Last updated:** 2024-10-02

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06619002

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06619002, "Implementation of Surgical Safety and Intraoperative Metastasis Identification Through Deep Learning: Multicentric Video Collection for Minimally Invasive Sentinel Lymph Node Dissection in Uterine Malignancies". Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/clinical/NCT06619002. Licensed CC0.

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