Brief Contents of Volume 1 1 Applying Ethical AI to Synthetic Image Generation in Ophthalmology 1 Sanvedya Kadam, Piyush Ashokrao Dalke and Neeraja Aswale 2 Generative AI for Low-Resource Vision Care: Creating Synthetic Images 21 Sanvedya Kadam and Swapna Kamble 3 Cross-Modality Image Synthesis in Vision Care Using Generative AI 45 Anjali Patil and Sachin Purushottam Untawale 4 Synthetic Imaging for Enhanced Vision Diagnostics 65 B. S. Joshi and Piyush Ashokrao Dalke 5 Generative AI for Low-Resource Settings: Enhancing Ophthalmic Diagnostics 89 Girish Arun Gadre and Shamla Mantri 6 Ethical AI in Ophthalmology: Improving Model Accuracy with GANs 109 Prajakta Patil and Jiwan Dehankar 7 Ethical and Regulatory Considerations in AI-Driven Ophthalmology 129 Prajakta Patil and Abhay Kashetwar 8 Ethics and Regulations in Generative AI for Vision Diagnostics 147 Girish Arun Gadre and Fazil Sheikh 9 Generative AI in Ophthalmology: Precision in Treatment Prediction 167 Girish Arun Gadre and Sanjay L. Badjate 10 Generative AI in Ophthalmology: Overcoming GAN Implementation Challenges 187 Gaurav Paranjpe and Rahul Pethe 11 Generative AI for Low-Resource Vision Care: Enabling Patient-Specific Modeling 205 B. S. Joshi and Sanjay L. Badjate 12 Advancing Ophthalmic Diagnostics with Generative AI 223 V. H.

Karambelkar and Kalpana Malpe 13 Leveraging Generative AI for Assistive Technologies in Vision Care 241 Sonali Patil and K. Gavhale 14 AI in Low-Resource Settings: Enhancing Ophthalmic Models with Synthetic Data 263 Gaurav Paranjpe and Salim Chavan 15 Boosting Ophthalmic Model Accuracy with Generative AI and Synthetic Imaging 283 Renuka Sarwate and Faisal Hussain 16 Overcoming GAN Challenges to Improve Ophthalmic Model Accuracy 303 Gaurav Paranjpe and K. Gavhale 17 Patient-Specific Ophthalmic Modeling with Generative AI 325 D. B. Shirke and Sanjay Badjate 18 Synthetic Image Generation for Patient-Specific Ophthalmic Models: A Comprehensive Review 347 Anjali Patil and G. M. Vaidya 19 Cross-Modality Image Synthesis for Personalized Vision Treatment 367 V. H.

Karambelkar and Himanshu Wagh Brief Contents of Volume 2 20 Personalized Medicine in Vision Care through AI-Driven Image Synthesis 387 21 Predicting Treatment Outcomes in Ophthalmology with Generative AI 405 22 Predicting Vision Care Outcomes with Personalized Generative AI 425 23 Shaping Ophthalmic Imaging: The Challenges of Implementing GANs 443 24 Challenges in Using GANs for Synthetic Imaging in Vision Diagnostics 461 25 Generative AI for Assistive Vision Technologies: A New Era in Care 479 26 A New Era in Vision Care: Overview of AI Transforming the World of Ophthalmology 495 27 Creating Synthetic Images for Improved Diagnostics 513 28 Enhancing the Accuracy of Ophthalmic Models 557 29 Predicting Treatment Outcomes with Generative Adversarial Networks 581 30 GAN-Driven Approaches for Cross-Modality Image Synthesis 609 31 AI for Low-Resource Settings and Assistive Technologies: Utilization of GANs for the Generation of Synthetic Data in Resource-Constrained Contexts When Acquiring Extensive Datasets Poses a Barrier 623 32 AI-Enabled Personalized Medicine and Patient-Specific Monitoring 645 33 The Challenges of Implementing GANs 667 34 Ethics and Regulations in AI-Driven Ophthalmology 701 35 AI in Preventive Eye Care 719 36 Collaborative AI in Smart Eye Care: Integration of AI, IoT, and Wearable Technologies for Eye Health Monitoring 745 37 Exploring Adaptive Multimodal Generative AI for Personalized Content Creation 765 38 Self-Supervised Learning for Early Detection of Diabetic Retinopathy: A Generative AI Perspective 789 39 Future Directions: From Generative AI to General AI in Ophthalmic Care 807 Conclusion 818 References 819 Index 821.