FDA Radiology AI Devices

QUADSENSE is a surgical tool used during total knee replacement surgery to help surgeons measure and compare the forces in the patellofemoral joint before and after patella resurfacing. The device includes a sensor attached to the patella and displays real-time force data to support surgical decision-making, improving joint alignment and implant positioning.

The Zeta Cranial Navigation System is a stereotaxic image guidance system designed to help neurosurgeons spatially position and orient surgical instruments during cranial surgery. It uses 3D preoperative CT or MRI scans to assist in real-time navigation without requiring rigid fixation of the patient. This system enhances the precision of neurosurgical procedures by providing visual guidance based on medical imaging data.

Encevis (2.1) is a software tool that assists neurologists by automatically analyzing EEG recordings to detect seizures, spikes, electrographic status epilepticus, and other brain activity patterns. It reduces artifacts in EEG data, provides quantitative measures like frequency bands and burst suppression, and displays alerts to support rapid clinical decision-making, especially in acute care settings.

Sourcerer is a software tool designed for neurologists and EEG technologists to visualize brain activity by integrating EEG data with MRI images. It helps localize sources of brain activity by projecting EEG signals onto an idealized head model, aiding in clinical diagnoses such as epilepsy evaluation.

The syngo.via MI Workflows, including Scenium and syngo MBF, is a multi-modality software platform developed to assist healthcare professionals in viewing, manipulating, quantifying, and analyzing medical images from various imaging modalities, including PET, SPECT, CT, and MR. It supports disease management in oncology, cardiology, neurology, and organ function, and aids physicians in radiotherapy treatment planning by harmonizing PET data and providing standardized analysis tools such as brain amyloid quantification.

MI View&GO by Siemens Medical Solutions USA, Inc. is medical diagnostic software designed to assist healthcare professionals in viewing and analyzing medical images from multiple modalities including PET, SPECT, CT, and MR. It supports disease management in oncology, cardiology, neurology, and organ function, and aids in radiotherapy treatment planning by providing users with tools for image manipulation, quantification, and comparison at or near the scanner console, enhancing workflow efficiency and diagnostic accuracy.

HeartKey Rhythm is a software platform designed to analyze ECG data from various ambulatory monitoring devices such as Holters and ECG patches. Using a combination of machine learning and signal processing, the software detects heartbeats, assesses rhythm, and identifies arrhythmias to assist healthcare professionals in diagnosing cardiac conditions. It integrates through an API into other ECG management or monitoring systems and supports non-urgent clinical decision making.

CADDIE is a cloud-based AI software that helps gastroenterologists detect suspected colorectal polyps during colonoscopy procedures by analyzing live video from endoscopy. It highlights potential lesions with visual markers to aid clinical decision-making, improving polyp detection without replacing the physician's judgment.

The Huxley SANSA Home Sleep Apnea Test is a wearable device that records various physiological signals such as oxygen saturation, heart rate, chest movement, snoring, and sleep stages. It uses AI/ML algorithms in a cloud-based platform to analyze these signals and assist healthcare professionals in evaluating sleep-related breathing disorders like sleep apnea, both in clinical and home settings.

The SKOUT system is a medical software device that uses artificial intelligence to assist gastroenterologists in real-time detection of potential colorectal polyps during colonoscopy procedures. It provides visual markers on the endoscopic video feed to highlight suspected polyps, helping doctors identify these abnormalities more effectively during colorectal cancer screening or surveillance.