FDA Radiology AI Devices

The UNiD™ Spine Analyzer by Medicrea International is a software tool designed to automatically process radiological images of the spine. It helps clinicians by providing detailed analysis of spinal images, which facilitates diagnosis and treatment planning for spinal conditions.

Voxel Dosimetry is a software tool used in nuclear medicine to calculate the absorbed radiation dose distribution within a patient's body at the small voxel level and for specific organs. It uses deep learning based semi-automatic segmentation and non-rigid image registration to analyze images post-radionuclide therapy, providing clinicians with detailed dose mapping to assist in treatment planning and evaluation.

Synapse PACS (7.5) by FUJIFILM Healthcare Americas Corporation is a web-based software application designed to manage, display, and process medical images from various modalities. It provides advanced tools such as measurements, regional segmentation, 3D volume rendering, fusion, and structured report generation to support clinicians like radiologists and cardiologists in reading, interpreting, and planning patient care efficiently.

EchoConfidence (USA) is an AI-powered software that helps clinicians analyze transthoracic echocardiogram images. It automatically classifies views, segments cardiac structures, measures cardiac function, and performs Doppler assessments, improving the efficiency and accuracy of cardiac image interpretation for adults and adolescents.

Viz Subdural+ is an AI-powered software that automatically analyzes head CT scans to measure subdural collections and midline shift. It helps clinicians by providing automated volume and width measurements of subdural collections, improving efficiency and accuracy in brain injury assessment.

Opulus™ Lymphoma Precision is an AI-powered software tool designed to help physicians analyze whole-body FDG-PET/CT scans of patients with FDG-avid lymphomas. It automatically segments and visualizes lymphoma lesions and calculates the total metabolic tumor volume. This supports physicians by reducing the manual workload and assisting in more efficient interpretation of PET/CT images, although final decisions remain with the radiologist.

CoLumboX is a software tool that helps healthcare professionals analyze lumbar spine x-ray images by automatically segmenting and measuring spine features. It provides quantitative information and highlights out-of-range measurements to assist in clinical evaluations, supporting more efficient and accurate patient assessments without making diagnoses itself.

Second Opinion® 3D is an AI-powered software that helps dental professionals by automatically identifying and marking important anatomical structures in dental CBCT (Cone Beam Computed Tomography) radiographs. It highlights areas such as dentition, maxilla, mandible, and other key dental anatomical features, supporting clinicians to review images more efficiently and accurately. The software acts as a concurrent and second reader for patients aged 12 years or older, assisting in dental evaluation without replacing full clinical patient assessment.

Synapse 3D Base Tools (V7.0) is advanced medical imaging software from FUJIFILM designed to assist trained professionals in reading, interpreting, reporting, and planning treatment using images from various modalities such as CT, MRI, X-ray, ultrasound, and nuclear medicine. It provides powerful 3D viewing tools, image fusion, segmentation powered by deep learning, and supports multiple modalities and anatomical regions, which enhances diagnostic workflows and treatment planning for adult patients.

Medical Image Post-processing Software (uOmnispace.CT) is sophisticated software designed to help radiologists and clinicians view, manipulate, evaluate, and analyze CT medical images. It includes multiple specialized processing applications for lungs, heart, brain, liver, bone structure, vascular structures, and more, helping clinicians quantify and characterize anatomical and functional information to support diagnosis and treatment planning.