ClinicalTrials.gg
RecruitingNCT07017907Updated Jun 1, 2026

Evaluating an AI Tool for Detecting Thyrotoxic States

An observational study in Graves Disease and Hyperthyroidism/Thyrotoxicosis, sponsored by THYROSCOPE INC.. Recruiting at 1 site in United States. Open to participants aged 22 Years and older. Per ClinicalTrials.gov, last updated 2026-06-01.

Sponsored by THYROSCOPE INC. · Observational

From the registry’s dates

  • Primary completion was expected by Jun 2026, 4 months ago, but the record still lists the study as recruiting.
  • Started Jan 2026; still recruiting 10 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
15
Ages
22 Years and older
Sex
All
01

Study 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.

Read the detailed description

This is a single-center, prospective observational study designed to validate the performance of Glandy HYPER, a software medical device that analyzes sleep heart rate data from wearable devices in conjunction with thyroid function test (TFT) results to detect thyrotoxicosis. The study targets adults aged 22 or older with newly diagnosed or currently treated Graves' disease.

Each participant will wear a smartwatch (Apple or Samsung, depending on their smartphone OS) to measure heart rate during sleep over a 12-week period. Blood samples for TFTs will be collected at four separate visits (baseline and at 4, 8, and 12 weeks). The primary endpoint is the F1 score between the investigational device's output and the diagnosis of thyrotoxicosis based on free T4 values. Secondary endpoints include sensitivity, specificity, and area under the curve (AUC) of the device's performance.

Data from the wearable device and TFTs will be used to create multiple evaluation-reference data pairs per patient, enabling within-subject validation across different time points. The study does not involve any investigational treatment or alteration to standard care and is classified as non-significant risk (NSR). The output of the software device will not influence clinical decisions during the trial.

The study also aims to assess the generalizability of the software's performance by comparing results from this U.S.-based cohort with prior studies conducted in Korea.

02

Conditions studied

  • Graves Disease
  • Hyperthyroidism/Thyrotoxicosis

Keywords

  • Graves disease
  • Hyperthyroidism
  • Thyrotoxicosis
  • Artificial intelligence
  • Heart rate
  • SaMD
  • wearable device
03

In context

Graves Disease

162 studies on the registry are indexed under Graves Disease; 53 are open to participants now.

This study's planned enrollment of 15 is below the median of 120 across 56 observational studies indexed under Graves Disease.

Browse Graves Disease studies →

Lead sponsor

THYROSCOPE INC. is the lead sponsor of 4 studies on the registry; 4 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
22 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults aged 22 years and older with a confirmed diagnosis of Graves' disease, including both newly diagnosed and currently treated individuals. Participants will be recruited from a single center in the United States. All participants must be able to use a wearable device and provide informed consent.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Adults aged 22 years or older, regardless of sex.
  • Individuals who are newly diagnosed with Graves' disease or currently undergoing treatment for it.
  • Individuals who have received sufficient explanation about the software and are able to use it appropriately.
  • Individuals who voluntarily agree to participate in the study and have signed , either directly or via a legally authorized representative.

Exclusion criteria

Exclusion Criteria:

  • Individuals with cardiac conditions such as arrhythmia or heart failure.
  • Individuals taking medications that significantly affect heart rate, including antiarrhythmics or antihistamines. (Intermittent short-acting beta-blockers are allowed.)
  • Pregnant or breastfeeding individuals, or those planning pregnancy during the study period or not using appropriate .
  • Individuals with significant comorbidities that interfere with follow-up or study compliance.
  • Individuals with severe psychiatric disorders, substance use disorder, or alcohol dependence.
  • Individuals deemed ineligible at the discretion of the investigator for safety or ethical concerns.
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Investigational drug or device

A drug or device being studied in a clinical trial.

It may be new, or already approved and being studied for another use, dose or form. Criteria often leave out people who took part in another study of one within a recent period, commonly 30 days or five half-lives.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
15 participants (estimated)
Target follow-up
12 Weeks
Patient registry
Yes
Biospecimen retention
Samples without dna

Groups and cohorts

  • Glandy HYPER Validation Cohort

    articipants diagnosed with Graves' disease who are either newly diagnosed or currently under treatment. All participants will wear a commercially available smartwatch (Apple or Samsung) to measure sleep heart rate, and undergo thyroid function testing (free T4 and TSH) at baseline and follow-up visits over 12 weeks. No therapeutic intervention will be applied, and data from wearable devices will be used solely for observational performance evaluation of the investigational software.

    Device: Heart rate-based AI software for detecting thyrotoxicosis

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.

06

What researchers measure

Primary outcomes

  1. F1 Score for Detection of Thyrotoxicosis Using the Investigational Software

    The F1 score will be calculated to evaluate the performance of the AI-based investigational software in detecting thyrotoxic states. The device's output, derived from wearable heart rate data and reference data, will be compared against the diagnosis based on serum free T4 concentration at each time point. Each participant contributes multiple data pairs (evaluation-reference combinations) based on serial visits (V2-V5), and the F1 score will be calculated for each case and summarized across all cases.

    Time frame: At weeks 4, 8, and 12 after baseline (Visit 2), up to 12 weeks total

Secondary outcomes

  1. Sensitivity and Specificity of the Software in Detecting Thyrotoxicosis

    The sensitivity and specificity of the investigational AI software will be calculated by comparing its output to the diagnosis of thyrotoxicosis based on serum free T4 levels. Results will be computed for each evaluation-reference data pair and summarized across all participants, with 95% confidence intervals.

    Time frame: At weeks 4, 8, and 12 after baseline (Visit 2), up to 12 weeks total

  2. Area Under the Receiver Operating Characteristic Curve (AUC) for Thyrotoxicosis Detection

    The AUC will be calculated to assess the diagnostic performance of the investigational software in distinguishing thyrotoxicosis from euthyroid and hypothyroid states, using free T4 levels as the reference. The AUC will be calculated per case and summarized across all evaluable cases.

    Time frame: At weeks 4, 8, and 12 after baseline (Visit 2), up to 12 weeks total

07

Study locations

1 of 1 sites recruiting
  • Umesh Masharani
    San Francisco, California 94143, United States
    Recruiting
08

References and documents

Publications

  • Shin K, Kim J, Park J, Oh TJ, Kong SH, Ahn CH, Moon JH, Kim MJ, Moon JH. A machine learning-assisted system to predict thyrotoxicosis using patients' heart rate monitoring data: a retrospective cohort study. Sci Rep. 2023 Nov 30;13(1):21096. doi: 10.1038/s41598-023-48199-x. PubMed 38036639 ↗
  • Kim KH, Lee J, Ahn CH, Yu HW, Choi JY, Lee HY, Lee WW, Moon JH. Association between Thyroid Function and Heart Rate Monitored by Wearable Devices in Patients with Hypothyroidism. Endocrinol Metab (Seoul). 2021 Oct;36(5):1121-1130. doi: 10.3803/EnM.2021.1216. Epub 2021 Oct 21. PubMed 34674500 ↗
  • Steinberger E, Pilz S, Trummer C, Theiler-Schwetz V, Reichhartinger M, Benninger T, Pandis M, Malle O, Keppel MH, Verheyen N, Grubler MR, Voelkl J, Meinitzer A, Marz W. Associations of Thyroid Hormones and Resting Heart Rate in Patients Referred to Coronary Angiography. Horm Metab Res. 2020 Dec;52(12):850-855. doi: 10.1055/a-1232-7292. Epub 2020 Sep 4. PubMed 32886945 ↗
  • Griffith ML, Bischoff LA, Baum HBA. Approach to the Patient With Thyrotoxicosis Using Telemedicine. J Clin Endocrinol Metab. 2020 Aug 1;105(8):dgaa373. doi: 10.1210/clinem/dgaa373. PubMed 32525973 ↗
  • Lee JE, Lee DH, Oh TJ, Kim KM, Choi SH, Lim S, Park YJ, Park DJ, Jang HC, Moon JH. Clinical Feasibility of Monitoring Resting Heart Rate Using a Wearable Activity Tracker in Patients With Thyrotoxicosis: Prospective Longitudinal Observational Study. JMIR Mhealth Uhealth. 2018 Jul 13;6(7):e159. doi: 10.2196/mhealth.9884. PubMed 30006328 ↗

Individual participant data

Plan to share: No — The individual participant data (IPD) collected in this study will not be shared with other researchers due to privacy concerns and the sensitive nature of the biometric and clinical data involved. Data are collected solely for regulatory and scientific validation purposes and will be handled in accordance with applicable privacy regulations.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 1, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07017907
Lead sponsor
THYROSCOPE INC.
Responsible party
Sponsor
First posted
Jun 12, 2025
Start date
Jan 9, 2026
Primary completion
Jun 30, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Jun 1, 2026

Study contacts

Jun An
Contact
jun.an@thyroscope.com
‭+82 10-2849-0041‬
Jae Hoon Moon, MD, PhD
Contact
jaehoon.moon@thyroscope.com
+82-10-5105-9815
Umeshi Masharani, MD
principal investigator · University of California, San Francisco

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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