AI retina disease diagnosis tool that utilizes advanced machine learning algorithms to pinpoint defective symptoms and record data to be used in diagnosisShare your idea
Our ultimate challenge for this project was to implement a solution based on machine learning algorithms for human retina image recognition, capable of performing the following:
- Identify and differentiate individual symptoms of human retina pathologies;
- Diagnose diseases based on input images;
- Create a database of pathological cases.
- State-of-the-art solution for medical data processing and neural network training to identify symptoms
- AI-generated medical knowledge base
- Web interface for internal testing
AIRA is an artificial intelligence retina analyzer which aims to solve the problems in retina pathologies diagnosis.
The Medical Industry is at the top of the list to benefit from technological innovation. Many processes can be simplified, unified and streamlined with the use of modern tech and software.
One of the most critical issues is the lack of public access to specialized medical care, especially in third-world countries. Even the presence of new equipment might be useless due to the absence of qualified professionals able to interpret test results and diagnose pathologies.
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Human retina analysis
Comprehensive knowledge base of symptoms
Retina disease symptom identification and differentiation
Disease evaluation and progress prediction