RecruitingNCT07017907

Evaluating an AI Tool for Detecting Thyrotoxic States

Performance Evaluation of the Software Medical Device to Detect the Thyrotoxic State in Patients With Hyperthyroidism


Sponsor

THYROSCOPE INC.

Enrollment

15 participants

Start Date

Jan 9, 2026

Study Type

OBSERVATIONAL

Conditions

Summary

This observational study aims to evaluate the performance of a software-based medical device, Glandy HYPER, in detecting the thyrotoxic state in patients with hyperthyroidism. The device utilizes heart rate data collected from commercially available wearable devices and compares it with thyroid function test results. The study will enroll patients diagnosed with Graves' disease, monitoring their heart rate during sleep and correlating these measurements with free T4 levels obtained through serial blood testing. No investigational device output will be disclosed to participants, and the study will not alter standard clinical care.


Eligibility

Min Age: 22 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called Heart rate-based AI software for detecting thyrotoxicosis for people with graves disease and hyperthyroidism/thyrotoxicosis. The study is currently recruiting participants at 1 location. People eligible for this study include aged 22 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEHeart rate-based AI software for detecting thyrotoxicosis

A software-based investigational medical device that uses artificial intelligence to detect the thyrotoxic state in patients with hyperthyroidism. The device analyzes resting heart rate data collected from wearable devices along with thyroid function test results (free T4 and TSH). The device is not FDA-approved and will be used solely for observational performance evaluation without influencing clinical care.


Locations(1)

Umesh Masharani

San Francisco, California, United States

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NCT07017907


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