FDA Radiology AI Devices

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.

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.

Paige Prostate is an AI software device by Paige.AI designed to assist pathologists in detecting prostate cancer in digitized pathology slides from needle biopsies. It analyzes whole slide images scanned from H&E stained tissue samples and identifies areas most suspicious for cancer, helping pathologists to focus their review and improve diagnostic accuracy. It serves as an adjunct tool and supports clinicians in making more accurate prostate cancer diagnoses.

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.

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 Philips EPIQ and Affiniti Series Diagnostic Ultrasound Systems are advanced ultrasound imaging devices used to capture diagnostic ultrasound images and analyze fluid flow in various parts of the human body. These systems include an AI-powered Auto Measure feature that semi-automates 2D and Doppler measurements during echocardiography, helping clinicians perform more efficient and standardized assessments with editable, semi-automated results.

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.

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.

Auto Lung Nodule Detection is a computer-aided detection software designed by Samsung Electronics to assist physicians in identifying and marking suspected pulmonary nodules between 10 and 30 mm on PA chest X-rays. Integrated into Samsung's digital X-ray systems, it serves as a second reader by highlighting regions of interest on images to support radiologists in their interpretation and improve detection accuracy.

Us2.v1 is an AI-powered software platform that automatically processes and analyzes transthoracic cardiac ultrasound images to measure key cardiac structural and functional parameters. It helps cardiologists and healthcare providers by producing comprehensive reports to support clinical decision-making for adult patients.