FDA Radiology AI Devices

This product is a family of Philips MRI systems designed to produce detailed images of the body's internal structures. These MRI machines help doctors and clinicians by providing high-quality images that assist in diagnosing a variety of medical conditions across different body regions without using ionizing radiation.

Constellation (CON-001) is an automated software tool that processes whole-body MRI images to segment anatomical regions and quantify various tissues such as muscles, fat, and organs. It provides clinicians with detailed quantitative reports with visual overlays to support clinical decisions without making autonomous diagnoses, focusing on healthy adult patients.

NeuroQuant is an automated software device designed to help clinicians by providing automatic labeling, visualization, and volumetric measurement of brain structures and lesions from MRI scans. It enhances clinical workflow by delivering segmented images and morphometric reports that can be reviewed and compared to normative data, aiding in diagnosis and monitoring of neurological conditions.

AiMIFY is a software that enhances contrast in brain MRI images after they have been taken, making lesions and other features easier for radiologists to see. It uses machine learning to improve image quality without requiring direct interaction with MRI machines, helping clinicians better identify abnormalities in the brain.

The Vantage Galan 3T, MRT-3020, V10.0 with AiCE Reconstruction Processing Unit for MR is a 3 Tesla MRI system produced by Canon Medical Systems Corporation. It provides high-quality cross-sectional images of anatomical structures in the head or body, including advanced imaging techniques such as non-contrast enhanced MRA and diffusion imaging. The AiCE Reconstruction Processing Unit uses AI to enhance and speed up the image reconstruction process, helping clinicians obtain clear and detailed MR images for diagnosis.

CoLumbo is a software tool that helps radiologists and spine surgeons analyze MRI images of the lumbar spine by automatically segmenting anatomical features and measuring spine structures. It identifies out-of-range measurements and assists users in documenting findings, streamlining the review and reporting process without making any medical diagnosis.

OptimMRI (v2) is a software application that processes MRI brain images to generate detailed 3D annotated models highlighting specific brain regions. It helps clinicians in planning neurosurgical procedures by localizing critical brain nuclei, thus supporting accurate functional planning and improving surgical outcomes.

The i2Contour by MRIMath LLC is a web-based AI-assisted software designed to semi-automatically segment and quantify glioblastoma tumors from MRI scans. It helps trained medical professionals by providing initial tumor contours which can be reviewed and manually adjusted, enabling accurate tumor volume assessments for patients with pathologically confirmed glioblastoma. This facilitates monitoring tumor progression or treatment response but is not intended for primary diagnosis.

MICSI-RMT is a software medical device designed to improve head MRI images by reducing noise, enhancing image quality to assist radiologists. It processes functional and diffusion MRI images without a user interface, outputting enhanced images for better visualization of brain structures and activation maps, aiding in clinical MRI interpretation.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a portable ultra-low field MRI device designed to image the internal structure of the head. It provides physicians with useful diagnostic images in environments where full diagnostic examination is not practical. The system uses deep learning reconstruction algorithms to improve image quality and is intended for use at the point of care, such as emergency rooms and intensive care units, enhancing access to MRI imaging in diverse clinical settings.