دانلود کتاب هوش مصنوعی مولد در چشم پزشکی (۲ جلدی)
Generative Artificial Intelligence in Ophthalmology 1st Edition

Empower your clinical practice to lead the future of vision science with this guide to mastering generative AI strategies that transform complex imaging data into high-precision, ethical diagnostic solutions.

Generative AI is a game-changer for both artificial intelligence and healthcare, especially in the field of vision science. As ophthalmologists and other eye care professionals work toward increasing the accuracy of diagnoses and treatment outcomes to improve patient-centered service delivery, generative AI is showing emerging potential as a tool to accomplish these goals. Generative AI, particularly generative adversarial networks, shows potential as a solution for image enhancement, data management, and personalized patient care.

Contents

۱ Applying Ethical AI to Synthetic Image Generation in Ophthalmology
۲ Generative AI for Low-Resource Vision Care: Creating Synthetic Images
۳ Cross-Modality Image Synthesis in Vision Care Using Generative AI
۴ Synthetic Imaging for Enhanced Vision Diagnostics
۵ Generative AI for Low-Resource Settings: Enhancing Ophthalmic Diagnostics
۶ Ethical AI in Ophthalmology: Improving Model Accuracy with GANs
۷ Ethical and Regulatory Considerations in AI-Driven Ophthalmology
۸ Ethics and Regulations in Generative AI for Vision Diagnostics
۹ Generative AI in Ophthalmology: Precision in Treatment Prediction
۱۰ Generative AI in Ophthalmology: Overcoming GAN Implementation Challenges
۱۱ Generative AI for Low-Resource Vision Care: Enabling Patient-Specific Modeling
۱۲ Advancing Ophthalmic Diagnostics with Generative AI
۱۳ Leveraging Generative AI for Assistive Technologies in Vision Care
۱۴ AI in Low-Resource Settings: Enhancing Ophthalmic Models with Synthetic Data
۱۵ Boosting Ophthalmic Model Accuracy with Generative AI and Synthetic Imaging
۱۶ Overcoming GAN Challenges to Improve Ophthalmic Model Accuracy
۱۷ Patient-Specific Ophthalmic Modeling with Generative AI
۱۸ Synthetic Image Generation for Patient-Specific Ophthalmic Models: A Comprehensive Review
۱۹ Cross-Modality Image Synthesis for Personalized Vision Treatment
۲۰ Personalized Medicine in Vision Care through AI-Driven Image Synthesis
۲۱ Predicting Treatment Outcomes in Ophthalmology with Generative AI
۲۲ Predicting Vision Care Outcomes with Personalized Generative AI
۲۳ Shaping Ophthalmic Imaging: The Challenges of Implementing GANs
۲۴ Challenges in Using GANs for Synthetic Imaging in Vision Diagnostics
۲۵ Generative AI for Assistive Vision Technologies: A New Era in Care
۲۶ A New Era in Vision Care: Overview of AI Transforming the World of Ophthalmology
۲۷ Creating Synthetic Images for Improved Diagnostics
۲۸ Enhancing the Accuracy of Ophthalmic Models
۲۹ Predicting Treatment Outcomes with Generative Adversarial Networks
۳۰ GAN-Driven Approaches for Cross-Modality Image Synthesis
۳۱ 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
۳۲ AI-Enabled Personalized Medicine and Patient-Specific Monitoring
۳۳ The Challenges of Implementing GANs
۳۴ Ethics and Regulations in AI-Driven Ophthalmology
۳۵ AI in Preventive Eye Care
۳۶ Collaborative AI in Smart Eye Care: Integration of AI, IoT, and Wearable Technologies for Eye Health Monitoring
۳۷ Exploring Adaptive Multimodal Generative AI for Personalized Content Creation
۳۸ Self-Supervised Learning for Early Detection of Diabetic Retinopathy: A Generative AI Perspective
۳۹ Future Directions: From Generative AI to General AI in Ophthalmic Care