FDA Radiology AI Devices

The Swoop Point-of-Care Magnetic Resonance Imaging (POC MRI) System by Hyperfine, Inc. is a portable MRI device designed to provide bedside imaging of the brain. It uses advanced deep learning for image reconstruction to reduce noise and blurring, enabling clinicians to view internal head structures more clearly. This system facilitates quicker and more accessible brain imaging in various care settings, aiding in diagnosis without the need to transport patients to traditional MRI suites.

Lunit INSIGHT MMG is an AI-powered computer-assisted detection and diagnosis software designed to help radiologists detect, localize, and characterize suspicious areas for breast cancer on mammograms. It works as an adjunct tool viewed after the initial physician read, providing visual marks and scores indicating the likelihood of malignancy to assist clinical decision-making and improve breast cancer detection during mammography screenings.

The TEX20 and TEX10 series Diagnostic Ultrasound Systems by Shenzhen Mindray are versatile, software-controlled ultrasound machines designed for imaging adults, pregnant women, pediatric patients, and neonates. They support multiple imaging modes such as B-mode, Doppler (including Color, Power, Pulsed Wave), 3D imaging, elastography, and contrast imaging, helping clinicians visualize and measure anatomical structures and blood flow across a wide range of body areas including ophthalmic, fetal, abdominal, cardiac, and musculoskeletal exams. These systems enhance diagnostic confidence and efficiency for healthcare providers through advanced imaging features and AI-assisted tools such as Smart Nerve, which assists in visualizing nerve plexuses for guidance.

The Clarius Ultrasound Scanner is a portable, software-controlled ultrasound system that wirelessly connects to smartphones or tablets to provide high-resolution, real-time diagnostic ultrasound images. It supports a wide range of clinical applications including cardiac, musculoskeletal, abdominal, fetal, and procedural guidance, helping healthcare professionals diagnose and monitor patients with ease and mobility.

Lunit INSIGHT CXR Triage is an AI-based software tool designed to analyze adult chest X-ray images and identify potentially critical lung conditions such as pleural effusion and pneumothorax. It flags suspicious cases in the radiology workflow, enabling radiologists to prioritize urgent cases more efficiently without altering the standard reading queue. It operates as a supportive notification system and is not intended for standalone clinical decision making.

IM007 by Implicity, Inc. is an AI-powered software that analyzes ECG data from Insertable Cardiac Monitors to help healthcare professionals detect various cardiac arrhythmias, such as atrial fibrillation and ventricular tachycardia. It works by processing ECG signals remotely uploaded from compatible devices and provides analysis results to clinicians to support diagnosis and patient monitoring.

Critical Care Suite with Endotracheal Tube Positioning AI Algorithm is a software tool that uses AI to automatically analyze frontal chest X-rays. It detects and localizes the position of an endotracheal tube and calculates the distance between the tube tip and the carina, providing clinicians with important information on tube placement to improve patient care.

Advanced Algorithms for Treatment Management Applications (AATMA) is a software library that uses machine-learning convolutional neural networks to automatically segment medical images. It provides derived data sets for use in radiation therapy treatment planning, accessible via an API and intended to help clinicians efficiently generate and review treatment contours from imaging data.

FlightPlan for Liver is a post-processing software that helps physicians analyze 3D X-ray angiography images to visualize the liver's vasculature and identify arteries near hypervascular lesions. It incorporates AI algorithms, including deep learning-based liver segmentation, to support the planning of liver embolization procedures, improving physician workflow and precision in treatment planning.

The Irregular Rhythm Notification Feature 2.0 (IRNF 2.0) is a software application used on Apple Watch and iPhone that analyzes pulse rate data using machine learning to detect irregular heart rhythms, such as atrial fibrillation (AFib). It notifies users of possible AFib episodes to help prompt medical consultation, supporting non-invasive heart rhythm monitoring through wearable technology.