Invention Title:

Integrated AI-Powered Wearable Device and Retinal Imaging System for Early Home-Based Screening and Detection of Ocular Tumors

Publication number:

US20260253215

Publication date:
Section:

Physics

Class:

G06T7/0012

Inventor:

Applicant:

Smart overview of the Invention

The RetinAI system is a groundbreaking integrated solution designed for early detection of ocular tumors and retinal diseases at home. It combines advanced artificial intelligence with optical imaging technology in a wearable headset. This device captures both extraocular and intraocular images without the need for pharmacological pupil dilation, making it accessible and convenient for non-specialists to use. The system's AI models, including object detectors and convolutional neural networks, provide real-time diagnostic feedback, enhancing early detection capabilities, especially in underserved areas.

System Components

The wearable headset includes imaging sensors and dual-mode illumination sources that are aligned coaxially with the user's eye. This alignment ensures accurate image capture for detecting leukocoria and retinal abnormalities. The system operates in two modes: an extraocular mode for pupil imaging and a retinal mode using infrared preview combined with synchronized white-light exposure to capture detailed retinal images. A single electronics core supports both modes, ensuring seamless operation.

Technological Innovations

The RetinAI system features a computing module that manages exposure, focus, and illumination timing. It executes computer-vision models to detect and classify ocular conditions like leukocoria and retinal tumors. The device offers alignment guidance and displays diagnostic results locally, ensuring user privacy and reducing latency. The modular design allows for easy conversion between modes, with quick-attach mounts that simplify operation and maintain consistent imaging geometry.

Operational Methodology

Users align the headset to ensure coaxial positioning of the illumination assembly and imaging sensor with the eye. Extraocular images are captured to detect leukocoria, followed by retinal imaging using a diopter lens module. The system processes these images to identify any abnormalities, presenting results directly on the device. This approach allows for effective pre-screening in various settings, such as homes and schools, and facilitates early intervention.

Advantages and Applications

The RetinAI system addresses challenges faced by previous methods, such as angle-dependent variability and the need for pharmacologic dilation. By providing immediate, on-device results, it empowers non-specialists to conduct reliable ocular screenings. The system's cost-effectiveness and portability make it a valuable tool for expanding access to ophthalmic care globally, particularly in resource-limited environments.