Generative Artificial Intelligence in Ophthalmology, 2 Volume Set

Binod Kumar Mishra, PhD is an Associate Professor at Chandigarh University with more than 18 years of experience. He has published ten papers in reputed peer-reviewed journals and international conferences and holds five patents. His research interests include theoretical computer science, natural language processing, and machine learning.Abhishek Kumar, PhD is an Associate Professor at Chandigarh University with more than 11 years of experience. He has authored seven books, edited 30 books, and has more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. His research interests include artificial intelligence, renewable energy, image processing, computer vision, data mining, and machine learning.K. Mariyappan, PhD is a Professor in the Department of Computer Science and Engineering at Chandigarh University with more than 22 years of experience. He has published 18 papers in reputed journals and conferences and holds two patents. His expertise lies in IoT, wireless sensor networks, and information security.Vibha Tiwari, PhD is a Professor in the Department of Electronics and Communication Engineering and serves as the Controller of Examinations at Medi-Caps University with more than 22 years of academic experience. She has published ten papers in reputed peer-reviewed journals and international conferences and holds four patents. Her research interests encompass the Internet of Things, embedded systems, image processing, and machine learning.Pramod Singh Rathore, PhD is an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University with more than 11 years of academic teaching experience. He has published more than 55 papers in reputable, peer-reviewed national and international journals, books, and conferences. His research interests include NS2, computer networks, and data mining.Gaur Hari Das, PhD is an Associate Consultant at the B.M. Birla Heart Research Centre. He has more than 120 publications in international journals and conferences of repute. His key area of interest is total arterial coronary artery bypass surgery, where he focuses on advancing surgical techniques and improving patient outcomes.

• Brief Contents of Volume 11 Applying Ethical AI to Synthetic Image Generation in Ophthalmology 1Sanvedya Kadam, Piyush Ashokrao Dalke and Neeraja Aswale2 Generative AI for Low-Resource Vision Care: Creating Synthetic Images 21Sanvedya Kadam and Swapna Kamble3 Cross-Modality Image Synthesis in Vision Care Using Generative AI 45Anjali Patil and Sachin Purushottam Untawale4 Synthetic Imaging for Enhanced Vision Diagnostics 65B. S. Joshi and Piyush Ashokrao Dalke5 Generative AI for Low-Resource Settings: Enhancing Ophthalmic Diagnostics 89Girish Arun Gadre and Shamla Mantri6 Ethical AI in Ophthalmology: Improving Model Accuracy with GANs 109Prajakta Patil and Jiwan Dehankar7 Ethical and Regulatory Considerations in AI-Driven Ophthalmology 129Prajakta Patil and Abhay Kashetwar8 Ethics and Regulations in Generative AI for Vision Diagnostics 147Girish Arun Gadre and Fazil Sheikh9 Generative AI in Ophthalmology: Precision in Treatment Prediction 167Girish Arun Gadre and Sanjay L. Badjate10 Generative AI in Ophthalmology: Overcoming GAN Implementation Challenges 187Gaurav Paranjpe and Rahul Pethe11 Generative AI for Low-Resource Vision Care: Enabling Patient-Specific Modeling 205B. S. Joshi and Sanjay L. Badjate12 Advancing Ophthalmic Diagnostics with Generative AI 223V. H. Karambelkar and Kalpana Malpe13 Leveraging Generative AI for Assistive Technologies in Vision Care 241Sonali Patil and K. Gavhale14 AI in Low-Resource Settings: Enhancing Ophthalmic Models with Synthetic Data 263Gaurav Paranjpe and Salim Chavan15 Boosting Ophthalmic Model Accuracy with Generative AI and Synthetic Imaging 283Renuka Sarwate and Faisal Hussain16 Overcoming GAN Challenges to Improve Ophthalmic Model Accuracy 303Gaurav Paranjpe and K. Gavhale17 Patient-Specific Ophthalmic Modeling with Generative AI 325D. B. Shirke and Sanjay Badjate18 Synthetic Image Generation for Patient-Specific Ophthalmic Models: A Comprehensive Review 347Anjali Patil and G. M. Vaidya19 Cross-Modality Image Synthesis for Personalized Vision Treatment 367V. H. Karambelkar and Himanshu WaghBrief Contents of Volume 220 Personalized Medicine in Vision Care through AI-Driven Image Synthesis 38721 Predicting Treatment Outcomes in Ophthalmology with Generative AI 40522 Predicting Vision Care Outcomes with Personalized Generative AI 42523 Shaping Ophthalmic Imaging: The Challenges of Implementing GANs 44324 Challenges in Using GANs for Synthetic Imaging in Vision Diagnostics 46125 Generative AI for Assistive Vision Technologies: A New Era in Care 47926 A New Era in Vision Care: Overview of AI Transforming the World of Ophthalmology 49527 Creating Synthetic Images for Improved Diagnostics 51328 Enhancing the Accuracy of Ophthalmic Models 55729 Predicting Treatment Outcomes with Generative Adversarial Networks 58130 GAN-Driven Approaches for Cross-Modality Image Synthesis 60931 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 62332 AI-Enabled Personalized Medicine and Patient-Specific Monitoring 64533 The Challenges of Implementing GANs 66734 Ethics and Regulations in AI-Driven Ophthalmology 70135 AI in Preventive Eye Care 71936 Collaborative AI in Smart Eye Care: Integration of AI, IoT, and Wearable Technologies for Eye Health Monitoring 74537 Exploring Adaptive Multimodal Generative AI for Personalized Content Creation 76538 Self-Supervised Learning for Early Detection of Diabetic Retinopathy: A Generative AI Perspective 78939 Future Directions: From Generative AI to General AI in Ophthalmic Care 807Conclusion 818References 819Index 821