FDA Radiology AI Devices

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.

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.

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.

Contour ProtégéAI is a software tool that assists trained medical professionals by automatically creating contours on CT and MR medical images using machine-learning algorithms. It helps in quantitative analysis, adaptive therapy, image segmentation of various anatomical regions including prostate via MR images, and supports radiation therapy treatment planning. The contours can be reviewed and edited with appropriate visualization software.

SwiftMR is a software medical device designed to automatically enhance brain MRI images by reducing noise and improving image sharpness. It processes MRI scans in DICOM format using advanced deep learning models, helping radiology professionals obtain clearer images for better diagnosis and clinical decision-making without interrupting their workflow.

StrokeSENS LVO is software that uses AI to analyze CT angiograms of the head to identify suspected large vessel occlusions, which can cause strokes. It assists healthcare providers by flagging potential LVO cases and sending notifications to specialists in near real-time, helping prioritize urgent cases and improve workflow efficiency. The software does not alter the original images and is intended to be used alongside existing diagnostic workflows.