FDA Radiology AI Devices

The RTHawk HeartVista Cardiac Package is an advanced software system that works with 1.5T and 3.0T MRI scanners to acquire and display real-time and conventional cardiovascular magnetic resonance images. It enables clinicians to obtain detailed heart images quickly and accurately, incorporating automated tools to optimize cardiac scans and improve patient imaging workflows.

Merge PACS is a software system that helps medical professionals view, analyze, and manage images from various medical imaging modalities such as CT, MRI, PET, ultrasound, and mammography. It supports diagnostic reading, reporting, and communication workflows, enabling clinicians to efficiently handle patient imaging studies and related data. It includes advanced image manipulation tools and workflow management features to assist radiologists and other medical staff.

The Ventripoint Medical System Plus (VMS+) 3.0 is a software and hardware system that works as an adjunct to ultrasound imaging. It records and analyzes 2D ultrasound images to reconstruct a 3D model of the heart's four chambers, helping clinicians measure heart chamber volumes and ejection fractions. This aids in cardiac assessment by providing detailed and accurate cardiac volume measurements using advanced image analysis techniques.

ProFound AI Software V2.1 is an AI-based software designed to assist radiologists in detecting soft tissue densities and calcifications in 3D digital breast tomosynthesis images. It highlights suspicious breast lesions by marking areas in the images and assigns confidence scores to help physicians identify likely malignant regions, supporting earlier and more accurate breast cancer diagnosis.

The CS-series-FP Radiographic / Fluoroscopic System with the optional CA-100S / FluoroShield ROI Assembly is an advanced fluoroscopic X-ray system that automatically manages and reduces radiation exposure by focusing on a configurable region of interest (ROI) during imaging. It blends high-resolution live imaging of the ROI with lower-exposure peripheral imaging, thus improving image quality and reducing unnecessary radiation dose to both patients and medical staff during interventional procedures.

Syngo.Via RT Image Suite is a software tool designed to help clinicians visualize, manipulate, and contour medical images from various imaging modalities such as CT, MRI, and PET. It supports 3D and 4D image visualization and assists with the segmentation of tumors and organs-at-risk to aid in radiation therapy planning and response assessment. The software incorporates AI techniques, including deep learning-based contouring, to improve the accuracy and efficiency of treatment preparation, thereby enhancing patient care in radiation therapy.

SubtleMR is a software device that enhances MRI images by reducing noise or increasing image sharpness using a convolutional neural network algorithm. It supports MR images from 1.2, 1.5, and 3 Tesla scanners and helps radiologists by improving image quality without requiring a user interface. This enhancement assists clinicians in better visualization of anatomical details for diagnosis and treatment planning.

SIS Software Version 3.6.0 is an advanced medical imaging application designed to assist neurosurgeons, neurologists, and radiologists by processing MRI and CT scans to create detailed 3D models of brain structures, particularly the subthalamic nuclei. It uses machine learning to enhance images, aiding in the visualization and planning of stereotactic brain surgeries, thereby improving surgical accuracy and patient outcomes.

AI-Rad Companion (Cardiovascular) is an AI-powered software that analyzes previously acquired CT chest images to segment the heart and aorta, quantify coronary calcium, and measure aortic diameters. It assists clinicians by providing quantitative and qualitative cardiovascular assessments to support diagnosis and evaluation in emergency, specialty, and general practice care.

D2P is a software tool developed by 3D Systems that processes medical imaging data (DICOM) to create 3D segmentations and physical models. It assists clinicians in surgical planning by allowing the generation of accurate physical replicas of anatomical regions from imaging data, supporting diagnosis and treatment decisions in cardiovascular, craniofacial, gastrointestinal, genitourinary, neurological, and musculoskeletal areas.