FDA Radiology AI Devices

Lunit INSIGHT DBT v1.1 is an AI-powered software designed to assist physicians in detecting and characterizing suspicious breast lesions in digital breast tomosynthesis exams. It marks regions of potential cancer with abnormality scores to aid diagnosis, improving clinical workflow for breast cancer screening in women.

PIUR tUS Infinity is a computer-aided detection system that assists medical professionals by analyzing ultrasound images of the thyroid and thyroid nodules. It uses AI and machine learning algorithms to create 3D volume reconstructions from 2D ultrasound images, allowing quantification and visualization of thyroid nodules to aid diagnosis. The system integrates seamlessly with FDA-cleared ultrasound equipment and produces reports to support clinical decisions.

The Aplio i900/i800/i700 Diagnostic Ultrasound System, Software V7.0 by Canon Medical Systems Corporation is a high-quality ultrasound imaging device designed for use in diverse clinical applications, such as cardiac, abdominal, musculoskeletal, fetal, and small organs imaging. It provides advanced imaging modes including Doppler, Harmonic Imaging, Elastography, and AI-based improvements like Auto Plane Detection and Quick Strain to enhance workflow efficiency and diagnostic accuracy for clinicians.

CINA-CSpine by Avicenna.AI is a radiological computer-assisted triage and notification software that uses AI algorithms to analyze cervical spine CT scans for suspected acute fractures. It helps hospital networks and trained physicians by flagging potential fracture cases and prioritizing image review, enabling faster and more efficient diagnosis and patient care. It operates alongside the standard care workflow without altering original images, providing notifications with preview images for informational purposes.

FETOLY-HEART is a software tool that helps healthcare professionals during fetal ultrasound exams by automatically detecting key fetal heart views and assessing the quality of those views in real-time. It supports clinicians in ensuring a complete and accurate fetal heart examination, particularly in the second and third trimesters of pregnancy, improving diagnostic confidence and workflow efficiency.

See-Mode Augmented Reporting Tool, Thyroid (SMART-T) is an AI-powered software that assists medical professionals in analyzing thyroid ultrasound images by automatically localizing thyroid nodules and characterizing them using standardized descriptors based on ACR TI-RADS. It helps clinicians generate structured reports and improves accuracy in detection and classification of nodules, thereby supporting clinical decision-making in thyroid nodule management.

TRAQinform IQ is a cloud-based software tool designed to aid medical professionals by providing quantitative analysis of lesions identified in PET/CT scans. It uses AI techniques such as machine learning for anatomical and skeletal segmentation and automates matching and quantitative assessment of regions of interest between multiple scans. The device generates detailed reports on lesion volume and tracer uptake changes over time, supporting clinicians in oncology and nuclear medicine to monitor disease progression and treatment response.

Velmeni for Dentists (V4D) is a computer-assisted detection software that helps dentists identify dental caries, restorations, fixed prostheses, and implants in various types of dental radiographs such as bitewing, periapical, and panoramic images. It uses machine learning algorithms to analyze radiographs and highlight areas of interest, providing additional information to aid clinical decisions without replacing dentist judgment.

The Overjet Charting Assist is a software system that helps dental professionals analyze 2D dental X-rays by detecting natural dental structures like tooth anatomy and numbering, as well as restorative dental work such as crowns and implants. It supports clinicians by automating dental chart creation from images, aiding in more precise and efficient dental assessments.

HealthCCSng is a software tool that uses artificial intelligence to automatically detect and measure calcified plaques in the coronary arteries from routine non-gated, non-contrast CT scans. It provides an exact calcium score and categorizes the amount of calcium present, with results integrated into the radiologist's workflow to assist in assessing risk for coronary artery disease.