FDA Radiology AI Devices

The Notal Vision Home OCT System is an AI-based home use device that enables patients with neovascular age-related macular degeneration (NV-AMD) to self-image their eyes at home using Optical Coherence Tomography (OCT). It captures detailed images of the retina, segments and quantifies hypo-reflective spaces associated with fluid build-up, and securely transmits data for physician review between scheduled clinic visits. This allows more frequent monitoring of eye disease progression without replacing standard clinical examinations.

BrainSee is software that helps clinicians predict whether patients aged 55 to 95 with amnestic mild cognitive impairment (aMCI) will progress to clinical Alzheimer's disease dementia within 5 years. It uses standard brain MRI scans along with patient demographics and cognitive test scores to generate a similarity score indicating the likelihood of progression. This tool provides supplemental prognostic information to aid clinical decision-making but is not a standalone diagnostic device.

EyeBOX is a device that uses an eye-tracking camera and software to measure and analyze eye movements as an aid in assessing concussion within one week of head injury for patients aged 5 to 67. It provides clinicians with a score indicating possible brain injury based on abnormal eye movement patterns, helping supplement traditional neurological assessment.

ContaCT is an AI-powered software developed by Viz.AI that analyzes brain CT angiogram images to detect suspected large vessel occlusions, a critical cause of stroke. The software notifies specialists quickly, allowing for faster clinical review and potentially earlier treatment, which can reduce disability from stroke. It integrates into hospital workflows, sending alerts in parallel to standard care without replacing diagnostic decisions.

The BrainScope Ahead 100 is a portable EEG-based device designed to assist physicians in evaluating patients with mild traumatic brain injury. It analyzes brain electrical activity to help decide if a head CT scan is needed, potentially reducing unnecessary CT scans and radiation exposure. The device processes EEG data using AI-driven algorithms to classify patients based on the likelihood of structural brain injury visible on CT.