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

31. maj 2026 opdateret af: Wen-zhao ZHONG

Evaluating the Efficacy and Safety of AI Localization Models in Multidisciplinary Team Care for NSCLC: a Prospective, Controlled Clinical Trial Protocol

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

Studieoversigt

Status

Rekruttering

Intervention / Behandling

Undersøgelsestype

Interventionel

Tilmelding (Anslået)

300

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Studiesteder

    • Guangdong
      • Guangzhou, Guangdong, Kina, 510000
        • Rekruttering
        • Guangdong Provincial People's Hospital
        • Kontakt:

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Beskrivelse

Inclusion Criteria:

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

Exclusion Criteria:

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Behandling
  • Tildeling: N/A
  • Interventionel model: Enkelt gruppeopgave
  • Maskning: Ingen (Åben etiket)

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: AI-Assisted Multidisciplinary Team Decision-Making for Non-Small Cell Lung Cancer
The impact of artificial intelligence on clinicians' treatment plans

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Consistency rate
Tidsramme: Baseline(MDT 1 Day)
Consistency rate between Option 1 and Option 2 (calculated using Kappa value). Consistency rate between Option 1 and Option 3 (decision modification rate).
Baseline(MDT 1 Day)

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
MDT Discussion Process Time
Tidsramme: Baseline(MDT Day 1)
Time from start to end of multidisciplinary team (MDT) discussion, measured immediately after MDT end.
Baseline(MDT Day 1)
Quality of AI Recommendations
Tidsramme: Baseline(MDT Day 1)
Physician-rated quality of AI recommendations using a Likert 5-point scale (1 = very poor, 5 = excellent).
Baseline(MDT Day 1)
Clinical Acceptability of AI
Tidsramme: Baseline(MDT Day 1)
Physician-rated clinical acceptability of AI recommendations using a Likert 5-point scale (1 = unacceptable, 5 = fully acceptable).
Baseline(MDT Day 1)
MDT Discussion Efficiency
Tidsramme: Baseline(MDT Day 1)
Physician-rated efficiency of MDT discussion process aided by AI using a Likert 5-point scale (1 = very inefficient, 5 = very efficient).
Baseline(MDT Day 1)
Process Convenience
Tidsramme: Baseline(MDT Day 1)
Physician-rated convenience of the AI-integrated workflow using a Likert 5-point scale (1 = very inconvenient, 5 = very convenient).
Baseline(MDT Day 1)
Added Value to Clinical Decision
Tidsramme: Baseline(MDT Day 1)
Physician-rated added value of AI to clinical decision-making using a Likert 5-point scale (1 = no added value, 5 = significant added value).
Baseline(MDT Day 1)
Learning and Training Value
Tidsramme: Baseline(MDT Day 1)
Physician-rated learning and training value of AI system using a Likert 5-point scale (1 = no value, 5 = high value).
Baseline(MDT Day 1)
Overall Satisfaction
Tidsramme: Baseline(MDT Day 1)
Physician-rated overall satisfaction with AI-assisted MDT using a Likert 5-point scale (1 = very dissatisfied, 5 = very satisfied).
Baseline(MDT Day 1)
Willingness to Use in Future
Tidsramme: Baseline(MDT Day 1)
Physician-rated willingness to use AI system in future clinical practice using a Likert 5-point scale (1 = definitely not willing, 5 = definitely willing).
Baseline(MDT Day 1)
Disease-Free Survival (DFS)
Tidsramme: 3 years
Time from treatment initiation to disease recurrence or death from any cause, assessed every 3-6 months during 2-3 years follow-up.
3 years
Progression-Free Survival (PFS)
Tidsramme: 3 years
Time from treatment initiation to disease progression or death from any cause, assessed every 3-6 months during 2-3 years follow-up.
3 years
Overall Survival (OS)
Tidsramme: 3 years
Time from treatment initiation to death from any cause, assessed every 3-6 months during 2-3 years follow-up.
3 years

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

1. december 2025

Primær færdiggørelse (Anslået)

31. oktober 2027

Studieafslutning (Anslået)

31. december 2028

Datoer for studieregistrering

Først indsendt

25. marts 2026

Først indsendt, der opfyldte QC-kriterier

31. maj 2026

Først opslået (Faktiske)

4. juni 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

4. juni 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

31. maj 2026

Sidst verificeret

1. maj 2026

Mere information

Begreber relateret til denne undersøgelse

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

UBESLUTET

IPD-planbeskrivelse

Patient information cannot be disclosed.

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