Generative Artificial Intelligence in Ophthalmology | 25.76 MB
Title: Generative Artificial Intelligence in Ophthalmology
Author: Binod Kumar Mishra, Abhishek Kumar, K. Mariyappan, Vibha Tiwari, Pramod Singh Rathore and Gaur Hari Das
Category: Nonfiction, Health & Well Being, Medical, Specialties, Ophthalmology, Computers, Advanced Computing, Artificial Intelligence, General Computing
Language: English | 861 Pages | ISBN: 3032193354
Description:
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.
This cross-disciplinary work addresses not only the technical challenges in building effective AI systems but also the ethical considerations of using these technologies in clinical scenarios. The book bridges the knowledge gap between AI researchers and healthcare professionals by breaking down complex AI concepts into clear, accessible language, providing practical examples of real-world applications, and guiding readers through the ethical and regulatory challenges of integrating AI into clinical practice. It demonstrates how advanced AI can be applied effectively in ophthalmology to improve diagnostics, treatment planning, and-accessibility.
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.
This cross-disciplinary work addresses not only the technical challenges in building effective AI systems but also the ethical considerations of using these technologies in clinical scenarios. The book bridges the knowledge gap between AI researchers and healthcare professionals by breaking down complex AI concepts into clear, accessible language, providing practical examples of real-world applications, and guiding readers through the ethical and regulatory challenges of integrating AI into clinical practice. It demonstrates how advanced AI can be applied effectively in ophthalmology to improve diagnostics, treatment planning, and-accessibility.
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