AI vs. tradition: which writes better cancer reports?
NCT ID NCT07504367
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a large language model (AI) can help junior doctors write more accurate and efficient cancer treatment reports. Forty doctors will be split into two groups: one using AI assistance, the other using traditional methods. The reports will be scored by experts to see if AI improves quality and speed. The goal is to understand if AI can support cancer care teams.
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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
RECRUITINGGuangzhou, Guangdong, 510000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
RECRUITINGGuangzhou, Guangdong, China
Contact Phone: •••-•••-•••• Email: •••••@•••••