FDA Radiology AI Devices

The EW10-EC02 Endoscopy Support Program is an AI-driven software tool designed to support endoscopists by detecting colon polyps and adenomas in real time during standard colonoscopy exams. It processes real-time endoscopic video images from White Light Imaging and Linked Color Imaging to highlight potential lesions, helping clinicians improve diagnosis and patient outcomes without replacing clinical judgment.

Tyto Insights for Wheeze Detection is an AI-powered software tool that analyzes lung sounds recorded by the FDA-cleared Tyto Stethoscope to automatically detect the presence of wheezing. This helps clinicians by providing decision support in respiratory assessments for adults and children aged 2 years and older. It offers clear positive or negative wheeze detection results through a web interface accessible to healthcare providers and patients, improving remote and point-of-care lung sound evaluation.

Syngo Carbon Clinicals is a software package that provides advanced visualization tools to help healthcare professionals prepare, measure, and analyze medical images from modalities such as CT and MRI. It supports manipulation and communication of clinical data, enabling qualitative and quantitative assessment to assist in diagnosis and treatment planning.

syngo.via MI Workflows, including Scenium and syngo MBF, is software that helps healthcare professionals analyze medical images from multiple modalities such as PET, SPECT, CT, and MR. It aids disease management in oncology, cardiology, neurology, and organ function by providing tools for image viewing, quantification, comparison, and radiotherapy planning. The software integrates advanced AI algorithms for automating organ segmentation and supports new workflows such as tau quantification in brain imaging, thus improving diagnostic and treatment planning efficiency.

aprevo® Digital Segmentation is a software tool designed for trained medical personnel to process medical images of the spine, specifically the lumbar area. It uses AI algorithms to automatically segment the spine from DICOM images and generates a 3D model, aiding in clinical planning or design tasks related to spine anatomy.

Veuron-Brain-pAb3 is advanced software that processes PET and MRI brain images to help clinicians detect and quantify amyloid protein concentration as an aid in diagnosing dementia. It automates image registration, fusion, and calculates standard uptake value ratios (SUVR) to visualize and analyze brain pathologies, improving diagnostic accuracy and workflow efficiency.

Momentum Spine is a mobile application that uses a smartphone camera to capture a 3D model of the torso and applies artificial intelligence to measure and track postural asymmetries, including scoliosis. It assists clinicians and patients in monitoring spinal health by providing quantitative assessments such as predicted Cobb angle and asymmetry metrics, enhancing early detection and management of spinal deformities.

The Low Ejection Fraction AI-ECG Algorithm by Anumana, Inc. is a software tool that analyzes 12-lead ECG signals using AI to aid in screening for patients with low left ventricular ejection fraction (≤ 40%). It helps clinicians identify adults at risk of heart failure to decide if further cardiac evaluation is needed. It works quickly on routine ECGs and does not replace diagnostic imaging but supports clinical judgment.

Volta AF-Xplorer is a medical software device that helps doctors analyze and annotate electrical signals from the heart in real-time. It uses machine learning to detect areas in the atria that exhibit abnormal electrical patterns during atrial fibrillation or tachycardia, supporting catheter ablation procedures. This software integrates with cardiac mapping systems to improve the precision and efficiency of cardiac electrophysiology interventions.

The OFIX MIS App is a mobile software application designed to help healthcare professionals view, store, and measure images to plan orthopedic surgeries, specifically for spinal implant procedures. It uses images captured via a mobile phone camera to assist in selecting the correct rod length for pedicle screw spinal systems, aiding surgeons in making precise implant placement decisions.