AI drafts chest CT reports, radiologists just edit
NCT ID NCT07634861
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence (AI) system can help experienced radiologists write chest CT scan reports more quickly without lowering quality. One hundred board-certified radiologists will interpret complex chest CT cases, sometimes using an AI-generated draft and sometimes writing from scratch. The goal is to see if the AI saves time and whether the final reports are as good as or better than those written without AI.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI-generated report for chest CT (device)
What this could lead to
If successful, this AI tool could make chest CT reporting faster and more efficient, helping radiologists handle more cases without sacrificing report quality.
What could go wrong
This is an early-stage study with only 100 participants. The AI may not work well for all types of chest CT findings, and results may not apply to all hospitals or radiologists.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Department of Radiology, Zhongshan Hospital, Fudan University
RECRUITINGShanghai, China
Contact
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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United Imaging Intelligence, Shanghai
RECRUITINGShanghai, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
Contact Email: •••••@•••••