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Testing an Artificial Intelligence Tool to Assist Radiologists in Reading Thyroid Ultrasound Scans

To evaluate utility of an Artificial Intelligence (AI)-Based Thyroid Imaging Reporting and Data System (TI-RADS) software as a decision-making Tool to the Radiologist while conducting thyroid ultrasounds. - TIRADS

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/06/112279
Enrollment
50
Registered
2026-06-09
Start date
Unknown
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: E018- Other iodine-deficiency related thyroid disorders and allied conditions

Interventions

Intervention1: Nil: Nil

Sponsors

Biosysion Private Limited
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients with nodule/nodules identified on thyroid ultrasound

Exclusion criteria

Exclusion criteria: Diffuse thyroid enlargement with no focal lesion. All post-treatment cases of malignant thyroid. Disease presenting with recurrence. Systemic or clinical cofounders. Incomplete clinical data

Design outcomes

Primary

MeasureTime frame
Determining the value of the AI tool as a decision support system in characterising thyroid nodules. The AI tool will determine the nodules on the basis of parameters mentioned below: i. Lesion Number ii. Location Nodule iii. Size of Nodule iv. TIRADS Score by Radiologist v. TIRADS by AITimepoint: Baseline—

Secondary

MeasureTime frame
Comparing the sensitivity and specificity of the first independent read of the radiologist with the AI toolTimepoint: Baseline—

Countries

India

Contacts

Public ContactDr Rajesh Saxena

Max Super Speciality Hospital

anandmoyee.dhar@maxhealthcare.com9810418279

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Aug 10, 2026