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Can AI drafts help doctors explain Heart-Lung tests faster?
NCT ID NCT07829731
First seen Sep 21, 2026 · Last updated Sep 21, 2026
Summary
Cardiopulmonary exercise tests produce complex measurements that doctors must turn into clear explanations for patients. This randomized crossover study asks whether a physician-supervised GPT draft can match the clinical quality of a doctor-written response while saving time. Licensed physicians and clinical trainees respond to synthetic test scenarios in Chinese, either writing from scratch or editing a frozen GPT draft. Researchers compare the proportion of final responses that meet a clinical acceptability standard and measure how long each task takes.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Physician-supervised GPT-assisted drafting of patient-facing test explanations
- What this could lead to
- If it works, this could give doctors a faster way to write clear explanations of heart and lung exercise tests without lowering quality.
- What could go wrong
- The study uses synthetic cases and a frozen GPT draft, so results may not carry over to real patients or live AI tools. It measures written acceptability and speed, not whether patients understand or act on the advice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 80 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Sep 2026
An estimate. Start dates often move.
- Expected to finish
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Nov 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Licensed physicians or institutionally recognized clinical trainees. * Able to read and write Chinese. * Experience in, or relevant training involving, cardiopulmonary exercise testing, cardiology, respiratory medicine, rehabilitation medicine, or related clinical interpretation within the previous 24 months. * Able to complete the computer-based study procedures. * Provision of written informed consent. Exclusion Criteria: * Participation in the development of the study case bank, reference answers, scoring manual, or frozen GPT-generated drafts. * Previous exposure to any Phase 2 study case. * Inability to complete the study tasks independently using the study computer interface. * A direct financial conflict of interest related to the evaluated artificial intelligence system. * Withdrawal of consent before completion of the assigned study procedures.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Zhongshan Hospital, Fudan University
Shanghai, Shanghai Municipality, 200032, China
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