FDA Radiology AI Devices

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.

AI Platform 2.0 (AIP002) by Exo Imaging is an AI-powered software tool designed to assist healthcare professionals by analyzing ultrasound images of the heart and lungs. It helps detect lung structures and artifacts, and quantifies cardiac functions such as left ventricular ejection fraction and myocardium wall thickness. The tool also provides real-time quality feedback to improve ultrasound image acquisition, aiding clinicians in making better diagnostic assessments for adult patients.

MammoScreen 3 is an artificial intelligence software tool designed to assist physicians in interpreting screening mammograms from digital mammography and digital breast tomosynthesis systems. It provides graphical marks indicating suspicious soft-tissue lesions or calcifications, along with a suspicion score and lesion characterization, helping radiologists in their diagnosis and reporting. The software is intended as an aid to, but not a replacement for, the physician's clinical judgment.

Rayvolve by AZmed SAS is an AI-powered software designed to assist radiologists and emergency physicians in detecting fractures from X-ray images of various musculoskeletal regions in adults and children aged 2 years and older. It enhances fracture diagnosis by automatically highlighting potential fractures on standard radiographic views, improving diagnostic accuracy and workflow efficiency.

VEA Align and spineEOS are cloud-based medical imaging software products by EOS imaging designed to assist healthcare professionals. VEA Align helps assess spinal and lower limb alignment using 2D X-rays with AI-generated anatomical landmarks for precise angle and length measurements. spineEOS facilitates preoperative planning for spine surgeries with access to 3D spine datasets and clinical measurements, enabling tailored surgical strategies. Both tools support clinicians by improving diagnostic accuracy and surgical planning through advanced image analysis and AI.

BriefCase-Quantification is an AI-powered software that analyzes CT scans of the abdominal aorta to measure its maximum diameter. It helps trained medical specialists by providing preliminary diameter measurements to assist with evaluating normal and aneurysmal abdominal aortas, improving the efficiency of radiological assessments. The software is cloud-based, processes images from DICOM format, and integrates output with PACS for clinician review.

Sonio Detect is an AI-powered software designed to assist healthcare professionals during fetal ultrasound exams by automatically identifying various fetal anatomical views and structures, and verifying the quality and characteristics of these images in real-time. This helps ensure that ultrasound examinations are complete and meet established protocols, potentially improving accuracy and efficiency in prenatal care.