FDA Radiology AI Devices

Bunkerhill Abdominal Aortic Quantification (AAQ) is AI software designed to analyze radiological images to quantify the abdominal aorta. This helps clinicians assess and monitor conditions related to the abdominal aorta more efficiently and accurately.

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 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.

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.

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.

InVision Precision LVEF is a software tool that analyzes previously acquired transthoracic cardiac ultrasound images to automatically estimate the left ventricular ejection fraction, helping clinicians with cardiac evaluation. The software processes DICOM ultrasound videos, uses machine learning to segment the left ventricle, and allows clinicians to review and adjust the measurements for precise cardiac function assessment.

Us2.v2 is software that processes cardiac ultrasound images to automatically measure various heart structures and functions, helping clinicians analyze echocardiograms more efficiently and accurately. It supports qualified healthcare professionals by providing automated measurements of cardiac size and function, improving workflow and aiding diagnosis in adult patients.

AVIEW CAC is a software that analyzes non-contrast chest CT scans to quantify calcified plaques in coronary arteries, calculate the Agatston score, and provide risk stratification based on calcium scoring, age, and gender. It helps radiologists and cardiologists by supporting image storage, transfer, and display, facilitating clinical decision-making for coronary artery disease risk assessment.

CT Cardiomegaly is a command-line software tool designed to automatically measure the cardiothoracic ratio from CT chest images. It uses machine learning algorithms to segment the heart and thoracic cavity and calculate both linear and area-based cardiothoracic ratios. This assists physicians in identifying cardiomegaly, providing quantitative measurements to support clinical decisions within healthcare settings.