Reasoning Enrichment With Feedback From IA in NEphrology Trial

Recruiting now · Not applicable

Conditions studied: Diagnosis, Clinical Decision-making, Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical

In brief

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.

Key facts

Study ID

NCT07352475

Run by

University Hospital, Lille

People needed

100

Starts

2025-11-20

Expected to finish

2026-12-31

Last updated by the study team

2026-01-20

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Adults aged 18 years or older.
• Able to read and answer clinical vignettes in English or French.
• Access to a computer or smartphone with an internet connection.
• Provides informed consent online.
• Participants are expected to have at least basic medical training (e.g., medical students, residents, fellows, or practicing clinicians), although no formal verification is required.

You may not qualify if…

• Individuals under 18 years of age.
• Inability to complete online study procedures.
• Prior involvement in the design, development, or evaluation of the AI system used in this study.

Where it is running

• Lille University Hospital (online study) — Lille, France (enrolling)

Full record on ClinicalTrials.gov

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