The Technology
Retinal imaging is widely available and enables affordable examination of the eyes. An optical coherence tomography (OCT) image, is a type of medical imaging technique that provides high-resolution, cross-sectional images of biological tissues, primarily in the eye. Digital fundus imaging (DFI) uses a specialized low-power microscope with a fundus camera to capture red green blue images of the interior surface of the eye. DFI and OCT are used for the diagnosis of eye pathologies Accordingly, we hypothesize that retinal images may be used for the diagnosis of ophthalmic conditions as well as systemic diseases. A number of AI algorithms for the analysis of retinal images have been published. Yet, these often do not reach the necessary performance needed for clinical care and thus for translational research. Furthermore, there is a gap on how to bring such technology to the user and what use case may best assist clinical care.
We have developed a set of deep learning algorithms for retinal image analysis at the AIMLab. These algorithms set a new state-of-the-art performance for the corresponding tasks and motivate the opportunity for translational research. This proposal aims to support the implementation of those AI algorithms on a mobile application we called Lirot.ai, widely release this application and elaborate a business model around our innovation. The initial ideas for the business plan of Lirot.ai is inspired by the one of OpenAI. The business plan and strategy will be centered around developing state-of-the-art artificial intelligence technology in retinal image analysis and making it widely accessible, while ensuring it benefits all of humanity. This means that we intend to distribute Lirot.ai without restriction in this first phase and give the opportunity to anyone to use our models. This will enable to build a community of users and gather feedback on usage
Advantages
- Advanced algorithm based on large data
- Multiple eye and retina conditions
Applications and Opportunities
- Ophthalmic diagnostic
Business Development Contacts