FDA Radiology AI Devices

Viz ICH is an AI-powered software tool that analyzes non-contrast CT brain images to detect suspected intracranial hemorrhages. It sends notifications to neurovascular or neurosurgical specialists to facilitate earlier patient review and intervention. The software is integrated with a mobile application for previewing images and managing notifications, though image previewing is non-diagnostic and full diagnosis relies on standard clinical evaluation.

VBrain is an AI-powered software device that helps trained medical professionals by automatically generating initial contours of known brain tumors on MRI scans. It supports radiation therapy planning by providing preliminary tumor outlines for professionals to review and adjust, streamlining the clinical workflow for brain tumor treatment planning.

Oncospace is a software system designed to assist radiation oncologists and medical dosimetrists in planning radiotherapy treatments for prostate, thoracic, pancreas, and head & neck cancers. It uses machine learning to predict personalized dose goals for organs at risk, helping clinicians optimize treatment plans more efficiently and safely, potentially reducing the number of iterations needed for plan approval.

ProFound AI Software V3.0 is an AI-based medical imaging software that aids radiologists by detecting and highlighting suspicious soft tissue densities and calcifications in 3D digital breast tomosynthesis images. It provides confidence scores that help clinicians identify potentially malignant findings more quickly and accurately during breast cancer screening and diagnosis.

Imbio RV/LV Software is an AI-powered medical imaging tool that automatically measures the diameters of the right and left ventricles of the heart from CT pulmonary angiography scans. It provides annotated images and reports to assist physicians in evaluating heart function, supporting clinical decision-making as part of cardiac assessment workflows.

Optellum Virtual Nodule Clinic is an AI-powered software that helps medical professionals track, assess, and characterize pulmonary nodules detected incidentally in CT scans. It provides a malignancy likelihood score using a convolutional neural network to support clinical decision making, improving diagnostic accuracy and patient management workflows for lung nodules.

The Vantage Galan 3T, MRT-3020, V6.0 with AiCE Reconstruction Processing Unit for MR is an advanced 3 Tesla MRI system by Canon Medical Systems. It utilizes AI-based deep learning reconstruction to improve image quality across various anatomical regions. This helps clinicians by providing clearer, high-quality diagnostic images of the head, body, and multiple specific anatomical areas, improving diagnostic confidence without changing the existing hardware or basic MRI functions.

MaxFOV 2 is a software option for GE CT scanners that uses deep learning to extend the display field of view in CT images beyond the scanner's nominal field, providing improved visualization of patient anatomy, especially useful in radiation therapy planning and for large patients. This helps clinicians obtain more complete images for diagnosis and treatment planning when parts of the body are outside standard scan coverage.

SubtleMR is a software tool that enhances MRI images by reducing noise or increasing sharpness using a convolutional neural network algorithm. It works with various MRI scans of the head, spine, neck, abdomen, pelvis, prostate, breast, and musculoskeletal areas to help radiologists obtain clearer images for better interpretation and diagnosis.

NinesMeasure is a software tool designed to help trained radiologists measure the size of pulmonary nodules on adult thoracic CT scans. It uses artificial intelligence to automatically calculate long and short axis diameters of nodules, providing quantitative information for better assessment and tracking over time. This tool assists clinicians by streamlining nodule measurement, though it is not intended to replace full patient evaluation or diagnosis.