AI-Driven System for Early Detection and Diagnosis of Cataracts by Image Recognition and Machine Learning Algorithms

Abstract

The early diagnosis and detection of cataracts based on the image recognition of AI-driven systems are propounded in this chapter. The categorization puts cataracts in the bucket of avoidable blindness, and early detection is the key to prevent it. A cataract is undoubtedly a story for every home, and more information and education on eye health is always a scope for functional society. A minimum of 2.2 billion people suffer from vision impairments, and one billion could have been prevented. The chapter introduces itself to the significance of early detection and the challenges faced during manual diagnosis. The chapter then briefs the methodology, the collection build-up, and the method to pre-process a large dataset of labelled eye images. Image recognition techniques, feature extraction, and deep learning algorithms are availed to train a robust machine learning model. In healthcare technology, diagnosing disease through picture recognition is a significant contribution and is a revolution in medical history.