AI boosts thyroid nodule diagnosis, may cut unnecessary biopsies
NCT ID NCT05982821
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether artificial intelligence (AI) can improve the accuracy of contrast-enhanced ultrasound for diagnosing thyroid nodules. Nearly 2,000 participants had both an ultrasound and a biopsy to confirm their diagnosis. Researchers compared how well doctors could identify cancerous nodules with and without AI assistance, with the goal of reducing unnecessary biopsies.
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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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1,955 people
The number who actually took part.
- Started
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Jun 2023
- Finished
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Mar 2026
- 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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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients with thyroid nodules with a solid component ≥5 mm confirmed by conventional ultrasound; * Patients who underwent conventional ultrasound, contrast-enhanced ultrasound, and fine-needle aspiration biopsy; * Patients with a final benign or malignant pathological results. Exclusion Criteria: * Patients with cytopathology of Bethesda I, III, or IV and without final benign or malignant pathology; * Patients with a history of thyroid ablation or surgery; * Patients with low-quality ultrasound images.
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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
Locations
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Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, Guangdong, 510289, China
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Other studies related to the condition(s) this trial covers.
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