Ai-Based Identification of Vulnerabilities in Human Eyes Using Deep Learning Methods

Abstract

This survey introduces a comprehensive investigation into the utilization of artificial intelligence (AI) for the identification of vulnerabilities within human eyes, leveraging deep learning techniques, particularly the DL framework. This framework harnesses the power of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to meticulously analyse both medical images and sequential data. This analytical approach facilitates precise detection and classification of various vulnerabilities in the realm of ocular health. The importance of early detection of vulnerabilities pertaining to vision-related disorders takes center stage in this research. The potential of AI to substantially enhance the accuracy of diagnoses and subsequent treatment decisions is underscored. The survey delves into the intricacies of the DL framework and its potential to catalyze transformative changes in the field of ophthalmology. As the study unfolds, it unravels a tapestry of challenges that lie in the path of implementing AI-driven solutions in healthcare. These challenges span diverse domains, encompassing data quality, model generalization, interpretability, handling imbalanced datasets, addressing ethical considerations, seamless integration into clinical workflows, mitigating instances of false positives and false negatives, continual learning paradigms, resource requisites, and the indispensable need for robust clinical validation. These complexities serve as a vivid reminder of the multifaceted nature of efficacious AI-based healthcare implementations. The objective of this investigation is to make a substantial contribution to the advancement of healthcare practices centered around vision-related issues. By ushering in a new era in ophthalmology through the innovative DL framework, this study aspires to reshape conventional paradigms and pave the way for a future where AI-driven methodologies play a pivotal role in elevating the standards of care within the realm of ocular health.