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

Sponsor
The University of Hong Kong
Study ID
NCT07234539
Status
Enrolling By Invitation

Conditions

  • Large Language Models
  • Thyroid Cancer

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • AI-enabled clinical assistant — OTHER
    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.

Study Details

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

Key Dates

First listed
Nov 18, 2025
Start date
Oct 2, 2025
Status verified
Jul 2026
Primary completion
Mar 31, 2027
Completion
Apr 30, 2027

Study Design

Enrollment
76 participants (estimated)
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • Experimental: 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.
  • No Intervention: Manural chart review
    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 manual chart review.

Primary Outcome Measure

Efficiency [ Time Frame: Between intervention group and non-intervention group. Cross-over in 4-26 weeks ]

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