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The book helps to explore the vast expanse of artificial intelligence-based scientific content that has been published in the last few years. Ophthalmology has recently undergone a silent digital revolution, with machine learning and deep learning algorithms consistently outperforming human graders in studies published across the globe. It is high time that a resource that breaks this information behemoth into easily digestible bits comes to the fore. This book simplifies the complex mechanics of algorithms used in ophthalmology and vision science applications. It also tries to address potential ethical issues with machines entering our clinics and patients’ lives. Overall it is essential reading for ophthalmologists/eye care professionals interested in artificial intelligence and everyone who is looking for a deep dive into the exciting world of digital medicine.
This book investigates the burgeoning role of artificial intelligence in ophthalmology and vision science. It aims to distill the vast and rapidly expanding body of scientific literature on AI in this field, focusing on machine learning and deep learning algorithms that are increasingly demonstrating superior performance to human graders. The text simplifies complex algorithmic mechanics for applications in ophthalmology and vision science, while also confronting the ethical considerations arising from the integration of AI into clinical practice and patient care.
The book is positioned as essential reading for ophthalmologists and eye care professionals interested in artificial intelligence, as well as for those seeking a comprehensive understanding of digital medicine. It aims to break down complex information into easily digestible segments, making advanced AI concepts accessible to a clinical audience. The content is expected to provide a thorough overview of current AI applications and their implications for the future of eye care.
Page Count:
150
Publication Date:
2021-04-22
Publisher:
Springer Nature
ISBN-10:
981160634X
ISBN-13:
9789811606342
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