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Reasoning Enrichment With Feedback From IA in NEphrology Trial

NCT07352475 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-01-20

No results posted yet for this study

Summary

The goal of this clinical trial is to learn how artificial intelligence (AI) may help doctors make diagnoses in kidney medicine. The researchers want to know whether an AI tool called a large language model (LLM) can help doctors choose the correct diagnosis more often and feel more confident in their answers.

Before starting the study, the research team tested several AI models and chose one of the best performers, a GPT-5-class model set to use high reasoning effort.

The main questions this study aims to answer are:

1. Do doctors make more correct diagnoses when they can see AI suggestions?
2. Does seeing AI suggestions change how confident doctors feel about their diagnosis?

Researchers will compare doctors who receive AI suggestions with doctors who do not receive AI suggestions to see how the AI affects accuracy, confidence, and decision-making.

Participants will complete up to 10 online clinical cases. For each case, they will:

1. Read a short medical scenario
2. Suggest up to three possible diagnoses

(If in the AI group) Review the AI's suggestions and decide whether to change their answer

The study will also look at how long participants take to answer each case and how the AI's performance compares to the human answers.

Conditions

  • Diagnosis
  • Clinical Decision-making
  • Artificial Intelligence (AI) in Diagnosis
  • Decision Support Systems, Clinical

Interventions

OTHER

AI suggestion

This intervention consists of displaying an AI-generated diagnostic suggestion during the clinical case-solving task. After reading each vignette, participants see the top diagnostic proposal produced by a large language model (GPT-5, high-reasoning configuration), selected after internal benchmarking. The AI suggestion appears once per vignette and cannot be requested again or modified. Participants may revise their diagnostic answer after viewing the suggestion, but they cannot return to the vignette later. No additional guidance, coaching, or interactive features are provided.

Sponsors & Collaborators

  • Institut Pasteur de Lille

    collaborator OTHER

  • Lille University

    collaborator OTHER

  • University Hospital, Lille

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-11-20
Primary Completion
2026-10-31
Completion
2026-12-31

Countries

  • France

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 NCT07352475 on ClinicalTrials.gov