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Evaluation of an Artificial Intelligence-enabled Clinical Assistant to Support Thyroid Cancer Management

NCT07234539 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 70

Last updated 2025-12-17

No results posted yet for this study

Summary

This study aims to evaluate the clinical feasibility of adopting artificial intelligence (AI)-based models to improve clinical management of thyroid cancer.

Conditions

Interventions

OTHER

AI-enabled clinical assistant

Participants will provide the caner staging and risk category of each thyroid cancer patient as well as the participants' confidence for the above diagnostic assessments with AI-enabled clinical assistant as the intervention. The AI assistant is powered by LLMs and comprises a clinical dashboard. The clinical dashboard displays the original clinical notes and summarizes cancer staging and risk category of each thyroid cancer patient generated from the backend processing of the clinical assistant. Supporting evidence from original clinical notes is also highlighted for participants' verification.

Sponsors & Collaborators

  • Innovation and Technology Commission, Hong Kong

    collaborator OTHER

  • The University of Hong Kong

    lead OTHER

Principal Investigators

  • King Ho Carlos Wong · School of Public Health The University of Hong Kong

  • Man Him Matrix Fung · Department of Surgery, School of Clinical Medicine, The University of Hong Kong

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-10-02
Primary Completion
2026-03-31
Completion
2026-04-30

Countries

  • Hong Kong

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07234539 on ClinicalTrials.gov