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AI vs. tradition: which writes better cancer reports?

NCT ID NCT07504367

First seen Apr 17, 2026 · Last updated Jun 15, 2026 · Updated 10 times

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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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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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    RECRUITING

    Guangzhou, Guangdong, 510000, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    RECRUITING

    Guangzhou, Guangdong, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

The condition(s) this trial relates to.

breast neoplasm colorectal neoplasm gastric neoplasm Liver Neoplasms lung neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.