FDA Radiology AI Devices

MammoScreen is an AI-based software that assists physicians in interpreting full-field digital mammograms (FFDM) by identifying suspicious breast lesions such as soft tissue lesions and calcifications. It provides marks on the mammogram images alongside a suspicion score to help detect potential breast cancer, supporting radiologists during their reading process to improve cancer detection without replacing clinical judgment.

Arterys MICA is a medical diagnostic software that processes and analyzes medical imaging data, primarily MR and CT scans. It includes AI modules that assist clinicians in quantifying heart function and detecting, evaluating, and tracking lesions for oncology purposes. The software supports trained healthcare professionals by providing quantitative data and visualization tools to aid diagnosis and treatment follow-up.

Hepatic VCAR is a medical software designed to assist clinicians in analyzing liver CT scans by providing automated and editable 3D segmentation of the liver, liver lesions, and hepatic artery. It uses deep learning algorithms to improve accuracy, helping to assess liver morphology and changes over time, thereby facilitating faster and more precise liver evaluations.

AI-ECG Tracker is software designed to assist healthcare professionals in hospitals by automatically analyzing ambulatory ECG data to detect and assess cardiac arrhythmias in adults. It processes ECG waveforms, detects specific ECG features like QRS complexes and ectopic beats, measures intervals and heart rate, and provides advisory interpretations to support clinical diagnosis of arrhythmias, but not as the sole diagnostic tool.

Viz ICH is an AI-based software tool designed to analyze non-contrast CT scans of the brain for signs of intracranial hemorrhage (ICH). When the software detects suspected ICH, it sends notifications to neurovascular or neurosurgical specialists, helping speed up patient care by alerting clinicians early. The system includes a backend server for image processing and a mobile app for reviewing images in a non-diagnostic way for quick assessment and communication.

Al-Rad Companion (Musculoskeletal) is AI-powered software designed to analyze CT images of the spine. It supports clinicians by automatically segmenting and labeling vertebrae, measuring vertebral heights, and calculating the mean Hounsfield unit values within vertebrae, aiding in musculoskeletal disease evaluation and assessment.

The SonoVision Ultrasound Imaging System is a general-purpose ultrasound device designed to help physicians visualize nerves, vascular structures, and other anatomical features, especially during spinal procedures. It uses a specialized ultrasound probe and advanced image processing software to provide real-time imaging assistance, enhancing the accuracy and safety of medical interventions.

The Vantage Galan 3T with AiCE Reconstruction Processing Unit is a 3 Tesla MRI system from Canon that uses deep convolutional neural networks to reduce thermal noise and improve image quality in MRI scans, particularly for brain and knee regions. This advanced software and hardware combination helps clinicians obtain clearer MRI images, enhancing diagnosis without increasing scan time or contrast use.

syngo.CT Lung CAD is an AI-powered software tool that helps radiologists detect solid pulmonary nodules in chest CT scans. Acting as a second reader, it alerts clinicians to potential nodules that might have been overlooked during their initial review, thereby improving diagnostic accuracy and patient care.

Transpara is an AI-powered software designed to assist physicians in interpreting full-field digital mammography and digital breast tomosynthesis exams. It highlights suspicious regions that may indicate breast cancer, providing scores that indicate the likelihood of malignancy. This helps radiologists improve detection accuracy and workflow efficiency while supporting clinical decisions during breast cancer screening.