FDA Radiology AI Devices

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.

autoSCORE is a software tool that assists neurologists by automatically analyzing EEG recordings to identify and categorize abnormal brain activity such as epileptiform and non-epileptiform abnormalities. It acts as a decision support system, marking potential abnormal areas on EEG data, thereby helping clinicians review EEGs more efficiently and accurately. The device does not provide final diagnostic conclusions but rather supports professional judgment in interpreting EEG results.

The REMI AI Discrete Detection Module (REMI-AI DDM) is a software tool designed to assist physicians qualified in EEG interpretation by automatically identifying and marking sections of EEG recordings that may correspond to seizure-like events. It processes previously acquired EEG data collected via the REMI Remote EEG Monitoring System, helping speed up and improve the review process for EEG data in patients aged 6 years and older. The software does not provide diagnostic conclusions but serves as an aid to clinicians in seizure detection support.

ClearPoint System (Software Version 2.2) is a medical software device designed to assist clinicians during neurological procedures by providing MRI-guided stereotactic guidance for the placement and operation of instruments like biopsy needles or deep brain stimulation leads. It integrates advanced automatic segmentation and visualization of brain structures from MRI scans, enhancing planning and intraoperative navigation. This helps improve surgical accuracy and patient outcomes in brain interventions.

Alignment System Cranial by Brainlab AG is a surgical navigation system designed to assist surgeons during cranial stereotactic procedures such as biopsies of intracranial lesions and placement of stereo-electroencephalography electrodes. It integrates optical tracking with advanced software and hardware to precisely guide surgical instruments, improving accuracy and safety. The system includes artificial intelligence features that aid in patient registration processes by detecting anatomical landmarks, enhancing surgical planning and execution.

The Dreem 3S is a wearable headband device that uses EEG electrodes and a 3D accelerometer to record brain electrical activity and movement during sleep. It applies an artificial neural network to automatically analyze and classify sleep stages, providing clinicians with detailed reports of patients' sleep patterns to aid in sleep assessment at home or in healthcare settings.

The Cranial Navigation and Cranial EM System by Brainlab AG is an image-guided surgical navigation system designed to assist surgeons during cranial and craniofacial procedures. It uses imaging data like CT, MR, X-Ray, and ultrasound to track surgical instruments relative to patient anatomy. The system integrates artificial intelligence via machine learning algorithms to detect brain abnormalities and anatomical landmarks in MR images to enhance registration accuracy and view centering, helping surgeons perform more precise navigation in complex brain surgeries.

The Ceribell Status Epilepticus Monitor is a software medical device that analyzes EEG data captured from a headband device to automatically detect electrographic status epilepticus in patients at risk of seizures. It provides timely diagnostic support to clinicians in acute care environments, enabling faster treatment decisions for this critical neurological condition.

Brainlab Elements Trajectory Planning (2.6) is a software designed to help neurosurgeons plan the best paths for surgical instruments during cranial procedures, such as electrode placements or biopsies. It uses anatomical images from scans to plan and guide minimally invasive or open surgeries, enhancing precision and improving patient outcomes.

NeuroRPM is a software application for the Apple Watch that uses machine learning to analyze motion sensor data to quantify motor symptoms like tremor, bradykinesia, and dyskinesia in adult Parkinson's disease patients. It helps clinicians remotely monitor symptom presence every 15 minutes, supporting both clinic and home use for improved patient management.