# Evaluating the Efficacy and Safety of AI Localization Models in Multidisciplinary Team Care for NSCLC

> **NCT07626736** · NA · RECRUITING · sponsor: **Wen-zhao ZHONG** · enrollment: 300 (estimated)

## Conditions studied

- Nonsmall Cell Lung Cancer

## Interventions

- **DIAGNOSTIC_TEST:** Treat Regimen

## Key facts

- **NCT ID:** NCT07626736
- **Lead sponsor:** Wen-zhao ZHONG
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2025-12-01
- **Primary completion:** 2027-10-31
- **Final completion:** 2028-12-31
- **Target enrollment:** 300 (ESTIMATED)
- **Last updated:** 2026-06-04

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07626736

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07626736, "Evaluating the Efficacy and Safety of AI Localization Models in Multidisciplinary Team Care for NSCLC". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07626736. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*