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

NCT07626736 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2026-06-04

No results posted yet for this study

Summary

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

Conditions

  • Nonsmall Cell Lung Cancer

Interventions

DIAGNOSTIC_TEST

Treat Regimen

The impact of artificial intelligence on clinicians' treatment plans

Sponsors & Collaborators

  • Guangdong Provincial People's Hospital

    collaborator OTHER

  • Wen-zhao ZHONG

    lead OTHER

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-01
Primary Completion
2027-10-31
Completion
2028-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07626736 on ClinicalTrials.gov