FDA Radiology AI Devices

Syngo Carbon Enterprise Access (VA40A) is a software-only medical device developed by Siemens Healthcare GmbH for use in healthcare institutions. It provides an enterprise-wide web application to display and render DICOM and non-DICOM medical data, supporting image and result distribution for diagnostic use by trained medical professionals. The software facilitates standardized data access without controlling image acquisition and enhances clinical workflows with a user-friendly interface. It does not include automated diagnostic functions but supports quality display and management of medical images and documents.

AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.

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.CT Lung CAD (Version VD30) is a computer-aided detection tool developed by Siemens Healthcare GmbH to help radiologists identify solid and subsolid pulmonary nodules in chest CT scans. The software highlights regions that might be overlooked, improving the accuracy and efficiency of lung nodule detection during radiological review. It can operate as a first or second reader and includes a mode to filter out subsolid and fully calcified nodules for focused analysis.

AI-Rad Companion (Pulmonary) is AI-powered software that analyzes chest CT scans to help radiologists and clinicians identify and measure lung structures and lesions. It segments lungs and lung lobes, detects lung nodules, compares current images to prior scans for lesion follow-up, and quantifies pulmonary density. These features support the clinical assessment and monitoring of lung diseases, improving workflow efficiency and diagnostic accuracy.

AI-Rad Companion Brain MR is software that assists clinicians by automatically analyzing brain MRI scans. It segments various brain structures, quantifies their volumes, and highlights white matter hyperintensities, comparing results to normal data. This helps radiologists make more accurate and efficient evaluations of brain health.

The syngo.CT Lung CAD by Siemens Healthcare GmbH is a software tool designed to assist radiologists in detecting solid and subsolid lung nodules on chest CT scans. It uses advanced AI algorithms based on convolutional neural networks to highlight suspicious areas, reducing the chance of missed nodules. The software integrates with existing medical imaging platforms, improving clinicians' efficiency and accuracy in lung nodule detection, a critical task in lung cancer screening and diagnosis.