NCT07234539

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

A Randomized Controlled Trial to Evaluate an Artificial Intelligence-enabled Clinical Assistant for Thyroid Cancer Staging and Risk Stratification Among Medical Students and Clinicians

• Status: Enrolling By Invitation
• Phase: N/A
• Study type: Interventional
• Enrollment: 70 (estimated)
• Sponsor: The University of Hong Kong · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

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

Detailed description

With recent advancements in technology, AI has become widely applicable to visual text recognition in clinical settings. AI-powered text recognition is emerging as a highly efficient, sustainable, and cost-effective tool for decision making and personalised medicine. Numerous studies have employed natural language processing (NLP) algorithms, particularly large language models (LLMs), to convert unstructured free-text from clinical consultation notes within electronic health records (EHR) into structured data, thus enriching individual clinical profiles in the EHR databases. Over time, these AI models have continuously improved their predictive accuracy and performance through self-learning (or unsupervised learning). While AI models had made a significant impact in oncology practices overseas, their utility for text recognition in oncology remains limited in Hong Kong. This proposed study aims to evaluate the clinical feasibility of adopting AI-based models to improve the end-user confidence in diagnostic accuracy and risk prediction using AI-assisted workflows in thyroid cancer management.

Conditions

• Thyroid Cancer
• Large Language Models

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2025-10-02
• Primary completion: 2026-03-31
• Completion: 2026-04-30
• First posted: 2025-11-18
• Last updated: 2025-12-17

Locations

2 sites across 1 country: Hong Kong