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

Recruiting now · Not applicable

Conditions studied: Nonsmall Cell Lung Cancer

In brief

The goal of this clinical trial is to evaluate the effectiveness and safety of a locally deployed artificial intelligence (AI) decision-support model in the multidisciplinary team (MDT) process for patients with non-small cell lung cancer (NSCLC). The main questions it aims to answer : What is the level of agreement between treatment recommendations generated by the AI model and those made by a traditional MDT? How often do clinicians modify their final treatment decision after reviewing the AI model's recommendation? Researchers will compare treatment plans from the traditional MDT (Arm 1), the AI model (Arm 2), and the clinician's final decision after reviewing the AI output (Arm 3) to assess consistency, decision modification rates, and clinical efficiency. Participants will: Have their clinical, imaging, and molecular data submitted to both the traditional MDT and the AI model for independent treatment recommendations Receive a final treatment plan determined by clinicians after reviewing both recommendations, with follow-up for safety and survival outcomes

Key facts

Study ID

NCT07626736

Run by

Wen-zhao ZHONG

People needed

300

Starts

2025-12-01

Expected to finish

2028-12-31

Last updated by the study team

2026-06-04

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age ≥ 18 years;
• MDT (Multidisciplinary Team) discussion deems a systemic treatment plan necessary;
• Complete clinical, imaging, and molecular pathological data.

You may not qualify if…

• Stage I patients;
• Diagnosed with a thoracic tumor other than NSCLC;
• Lack of detailed medical data, or missing data;

Where it is running

• Guangdong Provincial People's Hospital — Guangzhou, Guangdong, China (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.