aiCockpit AI Viewer

The Fovia, Inc. aiCockpit AI Viewer is a medical image management and processing system designed to enhance clinical review by integrating artificial intelligence software with advanced 3D rendering capabilities. It functions as an overlay on DICOM images, providing annotations and measurements, thereby aiding clinicians in reviewing findings by presenting imaging data alongside clinical documents.

On February 26, 2025, a determination was issued regarding Fovia, Inc.'s aiCockpit AI Viewer, confirming it is substantially equivalent to legally marketed products. This device is a medical image management and processing system designed for clinical review in General Radiology and other healthcare imaging applications. It functions as software that displays annotations and measurements as an overlay on images from DICOM objects and artificial intelligence software. The viewer also supports 3D Multi-Planar Reformatting, 3D Maximum Intensity Projection, and 3D Volume Rendering, and aids in reviewing findings by presenting clinical documents and reports alongside images. It is intended for use with off-the-shelf computing devices and supports major desktop browsers.Companies marketing such devices must adhere to ongoing regulatory requirements, including annual registration, device listing, good manufacturing practices, and specific labeling rules. The determination of equivalence does not imply compliance with all other federal statutes, and manufacturers must also comply with quality system regulations, covering aspects like design controls and corrective actions. Additionally, the aiCockpit AI Viewer is subject to Unique Device Identification System regulations, requiring specific labeling and database submissions. Resources are available for information on changes that may require further review, adverse event reporting, and comprehensive regulatory assistance.

AI Regulatory Concerns

Powered by

Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the aiCockpit AI Viewer's AI software integrate with existing clinical workflows and what specific diagnostic improvements does it offer over traditional image viewers?; What are the performance metrics (e.g., accuracy, speed, latency) of the AI annotations and measurements displayed by the viewer, particularly in diverse clinical scenarios?; Beyond General Radiology, what other specific healthcare imaging applications is the aiCockpit AI Viewer optimized for, and are there any ongoing clinical trials supporting its efficacy in these areas?; What cybersecurity measures are in place to protect patient data and DICOM objects when using the aiCockpit AI Viewer with off-the-shelf computing devices and web browsers?; Given its substantial equivalence, what post-market surveillance data is required or being collected to monitor the long-term performance and safety of the aiCockpit AI Viewer in clinical use?