NCT06865534

Brief Summary

This trial aims to assess the impact of providing medical students with access to large language models, in comparison to treatment guideline pdfs, on treatment concordance with a conventional multidisciplinary tumor board

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
70

participants targeted

Target at P25-P50 for not_applicable breast-cancer

Timeline
Completed

Started May 2026

Shorter than P25 for not_applicable breast-cancer

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 11, 2025

Completed
27 days until next milestone

First Posted

Study publicly available on registry

March 10, 2025

Completed
1.2 years until next milestone

Study Start

First participant enrolled

May 22, 2026

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 6, 2026

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 6, 2026

Completed
Last Updated

August 19, 2026

Status Verified

August 1, 2026

Enrollment Period

3 months

First QC Date

February 11, 2025

Last Update Submit

August 18, 2026

Conditions

Breast Cancer

Keywords

large language modelsclinical decision supportgynecological oncology

Outcome Measures

Primary Outcomes (1)

  • Treatment concordance with tumor board decisions

    Participants in each group select treatment modalities for case vignettes

    directly (within 10 minutes) after Intervention

Secondary Outcomes (2)

  • Treatment confidence

    directly (within 10 minutes) after Intervention

  • Time spent for treatment decision

    directly (within 10 minutes) after Intervention

Study Arms (2)

Local language model first

OTHER

Group will be given access to local language model first after using ChatGPT

Other: Local language model

Guideline pdf first

OTHER

Group will be given access to guideline pdf first after using ChatGPT

Other: Guideline pdf

Interventions

Local language modelOTHER

Group will be given access to local language model first after using ChatGPT and then will get access to pdf file

Local language model first
Guideline pdfOTHER

Group will be given access to pdf file after ChatGPT and then to a local language model

Guideline pdf first

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • \- Medical students having started with clinical subjects

You may not qualify if:

  • \- Not being a medical student

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Institute for Digital Medicine, University Hospital of Giessen and Marburg, Philipps University Marburg

Marburg, 35043, Germany

Location

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Study Officials

  • Sebastian Griewing, MD PhD

    Philipps University Marburg

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
TREATMENT
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 11, 2025

First Posted

March 10, 2025

Study Start

May 22, 2026

Primary Completion

August 6, 2026

Study Completion

August 6, 2026

Last Updated

August 19, 2026

Record last verified: 2026-08

Data Sharing

IPD Sharing
Will not share

Locations

DE(1)