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Artificial Intelligence In Ophthalmology

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Artificial Intelligence And Ophthalmology

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Author : Parul Ichhpujani
language : en
Publisher: Springer Nature
Release Date : 2021-04-22

Artificial Intelligence And Ophthalmology written by Parul Ichhpujani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-22 with Medical categories.

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.

Artificial Intelligence In Ophthalmology

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Author : Andrzej Grzybowski
language : en
Publisher: Springer Nature
Release Date : 2021-10-13

Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-13 with Medical categories.

This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.

Artificial Intelligence In Ophthalmology

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Author : Andrzej Grzybowski
language : en
Publisher:
Release Date : 2021

Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Artificial Intelligence In Ophthalmology

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Author : Andrzej Grzybowski
language : en
Publisher: Springer
Release Date : 2022-10-15

Artificial Intelligence In Ophthalmology written by Andrzej Grzybowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-15 with Medical categories.

Big Data And Artificial Intelligence In Ophthalmology

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Author : Tae-im Kim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-17

Big Data And Artificial Intelligence In Ophthalmology written by Tae-im Kim and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Medical categories.

Big Data And Artificial Intelligence In Ophthalmology Clinical Application And Future Exploration

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Author : Tae-im Kim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-27

Big Data And Artificial Intelligence In Ophthalmology Clinical Application And Future Exploration written by Tae-im Kim and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Medical categories.

Artificial Intelligence In Ophthalmopathy And Ultra Wide Field Image

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Author : David Gerald
language : en
Publisher:
Release Date : 2021-08-15

Artificial Intelligence In Ophthalmopathy And Ultra Wide Field Image written by David Gerald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-15 with categories.

Fundus digital photography and optical coherence tomography (OCT) are currently the primary imaging ap- proaches for early diagnosis and treatment of eye diseases. In recent years, the significant development in artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL) are new and vital technical-driven motivations impacting on the traditional diagnosis and treatment methods. At the same time, the ultra-wide field (UWF) imaging technology is getting widely accepted and prevalent by its obvious advan- tageous features of non-dilate pupils, express-track result and the vast pool of fundus viewing angles. As a result, numerous research have been done to explore AI in ultra-wide field fundus imaging ophthalmology for joint diagnosis and treatment. However, the current review of this method is still in least ink. We first outlines the application and impact of AI technology in ophthalmic diseases in the past ten years. With the following part exclusively summarizing the technical integration of ultra-wide field fundus images and AI technology in the past four years, which has brought innovations to clinical treatment methods for the diagnosis and treatment of ophthalmic diseases; finally, we analyzed the application and implementation of the novel technology as well as the potential limitations and challenges, to predict the possibility of the technology's further principles role and values in clinical ophthalmology.

Recent Advances In Ophthalmology 16

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Author : Nitin Nema
language : en
Publisher: Jaypee Brothers Medical Publishers Pvt Limited
Release Date : 2023-04-30

Recent Advances In Ophthalmology 16 written by Nitin Nema and has been published by Jaypee Brothers Medical Publishers Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-30 with Medical categories.

Chapter 1. Clinical Application, Limitations, and Future of Artificial Intelligence in Ophthalmology Chapter 2. Artificial Intelligence in Refractive Errors Chapter 3. Artificial Intelligence in Keratoconus Chapter 4. Advances in Refractive Surgery Chapter 5. Optical Coherence Tomography in the Diagnosis of Glaucoma Chapter 6. Pitfalls in the Diagnosis of Glaucoma by Artificial Intelligence Chapter 7. Optimizing Intraocular Lens Power Calculation in Eyes with Posterior Segment Diseases and Following Posterior Segment Surgery Chapter 8. Management of Uveitic Cataract Chapter 9. Artificial Intelligence in Diabetic Retinopathy Chapter 10. Artificial Intelligence in Retinopathy of Prematurity Chapter 11. Diagnosis of Retinal Detachment by Artificial Intelligence Chapter 12. Artificial Intelligence in Age-related Macular Degeneration Chapter 13. Multimodal Imaging in Macular Diseases Chapter 14. Recent Advances in Optic Nerve Tumors Chapter 15. Choroidal Metastasis Chapter 16. Artificial Intelligence in Neuro-ophthalmology Chapter 17. Updates in Artificial Intelligence in Ophthalmology

Artificial Intelligence Ai Impacting Diagnosis Of Glaucoma And Understanding The Regulatory Aspects Of Ai Based Software As Medical Device

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Author : Dani Wade
language : en
Publisher:
Release Date : 2021-04-13

Artificial Intelligence Ai Impacting Diagnosis Of Glaucoma And Understanding The Regulatory Aspects Of Ai Based Software As Medical Device written by Dani Wade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with categories.

Glaucoma is considered as a group of eye diseases characterized by optic neuropathy, a specific pattern of visual field defect and increased intraocular pressure. The rise in intraocular pressure leads to compres-sion of the retina and optic nerve that causes progressive, permanent loss of eyesight (Yadav et al., 2019). Glaucoma is known as the major cause of irreversible blindness worldwide (Gupta and Yadav, 2019). It is estimated that approximately 64.3 million individuals are affected by this disease and this number is expected to reach approximately 112 million by 2040 (Tham et al., 2014). Detection of glaucoma disease in its early stages may prevent blindness (Yadav et al., 2020). Undiagnosed glaucoma cases still account for more than 50 % of the cases worldwide the count of undiagnosed glaucoma cases is around 50 % (Gupta et al., 2016). Diagnosis of glaucoma is related to the assessment of the optic disc and the adjacent retinal nerve fibre layer by a trained specialist. Conventional methods for detection of glaucoma have higher chances of being misdiagnosed. Therefore, there is a need for an automated system which prevents misdiagnosis and makes correct use of the available medical data. As electronic medical records are becoming mainstream along with advancement in digital imaging and data storage, it is more important to appropriately utilize clinical data and digital images at this juncture than ever before.

Artificial Intelligence In The Treatment Of Glaucoma

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Author : Richard Bell
language : en
Publisher:
Release Date : 2021-09-14

Artificial Intelligence In The Treatment Of Glaucoma written by Richard Bell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with categories.

Glaucoma, the group of eye diseases is characterized by increased intraocular pressure, optic neuropathy and visual field defect patterns. Early and correct diagnosis of glaucoma can prevent irreversible vision loss and glaucomatous structural damages to the eye. However, greater chances of misdiagnosis by the currently used conventional methods for diagnosis open up ways for more advanced techniques like the use of artificial in- telligence (AI). Artificial intelligence coupled with optical coherence tomography imaging creates an algorithm that can be effectively used to make a model of complex data for detection as well as diagnosis of glaucoma. The Book is an attempt to provide state-of-the-art information on various AI techniques used in the diag- nosis and assessment of glaucoma. The second part of the Book is focused on understanding how the AI along with machine learning (ML) can be potentially used to be subjected for software as a medical device (SaMD) in precise diagnosis or early detection of disease conditions.

Artificial Intelligence In Ophthalmology

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