FDA Radiology AI Devices

The Philips EPIQ and Affiniti Diagnostic Ultrasound Systems are advanced ultrasound machines that provide diagnostic imaging and fluid flow analysis for various body regions. They help clinicians visualize internal organs and blood flow in real time, assisting in the diagnosis and treatment of conditions related to the abdomen, heart, brain, musculoskeletal system, and more. The system also includes liver fat quantification tools to measure attenuation and hepato-renal index, supporting assessment of liver health.

Deep Learning Image Reconstruction by GE Healthcare is a software that uses deep neural networks to reconstruct high-quality CT images from X-ray transmission data. It helps radiologists by producing images with improved noise reduction, spatial resolution, and artifact suppression, suitable for head, whole body, cardiac, and vascular CT scans at routine clinical throughput.

Intelligent NR is a software function integrated with Canon's CXDI Control Software that uses machine learning-based noise reduction to enhance the quality of digital X-ray images. It helps clinicians obtain clearer images from conventional radiographic exams, improving diagnostic confidence especially in trauma, intensive care, and pediatric settings.

HealthCCSng is a software device that automatically analyzes non-cardiac-gated CT scans to estimate the amount of calcified plaque in coronary arteries, which can indicate coronary artery disease risk. It provides radiologists with calcium detection categories and annotated images to aid in clinical decision-making within their usual workflow.

Versana Premier is a general purpose diagnostic ultrasound system designed for use by trained healthcare professionals. It supports multiple clinical applications such as fetal, abdominal, gynecological, cardiac, vascular, musculoskeletal, and more. It includes various advanced imaging modes and features AI-based enhancements like Whizz Label to assist clinicians in acquiring and interpreting ultrasound images efficiently and accurately. The system is intended for hospitals and medical clinics to aid in the diagnosis and assessment of medical conditions.

ClariSIGMAM is a software tool designed to automatically analyze digital mammograms to estimate breast density by calculating the ratio of fibroglandular tissue to the total breast area. It categorizes breast density using BI-RADS groups to assist radiologists in assessing breast tissue composition, providing adjunctive information to support interpretation but is not a diagnostic aid.

The Aquilion Exceed LB is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional images of the body, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise. This helps clinicians obtain clearer, more accurate diagnostic images for various body regions, including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear.

The HERA W9 and HERA W10 Diagnostic Ultrasound Systems by Samsung Medison are advanced ultrasound imaging devices used across multiple clinical applications including fetal, abdominal, cardiac, and musculoskeletal imaging. They incorporate AI-powered features such as HeartAssist and BiometryAssist to improve efficiency and accuracy by automatically identifying scanning views and aiding biometric measurements. These devices assist clinicians by providing comprehensive ultrasound imaging modes and enhancing workflow in hospitals and clinics.

The V8 Diagnostic Ultrasound System by Samsung Medison is a general-purpose, mobile ultrasound device that captures real-time images and analyzes body fluids across various clinical applications including obstetrics, cardiac, abdominal, and musculoskeletal imaging. It uses multiple imaging modes and some AI-based software features to assist clinicians in diagnosis and measurement, helping improve accuracy and efficiency in medical imaging.

AmCAD-UT is a Windows-based AI-assisted software designed to help clinicians analyze thyroid ultrasound images. After initial review by a physician, the software quantifies and visualizes sonographic features of thyroid nodules, specifically those larger than 1cm, aiding in clinical decision-making for biopsy recommendations. It facilitates detailed image analysis and generates automated reports to support thyroid cancer diagnosis and management.