Intended Use

Localization and characterization of thyroid ultrasound images in adult patients referred for ultrasound examination.

Technology

Stand-alone, web-based image processing and reporting software that uses machine learning algorithms to localize suspicious thyroid nodules and classify them according to ACR TI-RADS descriptors. Produces reports reviewed and approved by clinicians. Runs on standard computers with DICOM-compliant ultrasound images as input.

Performance

Clinical performance evaluated in a Multi-Reader Multi-Case (MRMC) study with 18 radiologists reading 600 cases, showing improved reader performance with device aid in localization, lexicon characterization, and TI-RADS agreement. Standalone performance comparable to aided read. Non-clinical software validation and risk analysis done per recognized standards.

Predicate Devices

No predicate devices specified

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