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  • © 2021

Artificial Intelligence in Ophthalmology

  • Reviews current and predicted trends

  • Written by world leading experts in the field

  • Assesses how AI can be applied in ophthalmic healthcare

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-vi
  2. Basics of Artificial Intelligence for Ophthalmologists

    • Ikram Issarti, Jos J. Rozema
    Pages 17-30
  3. Overview of Artificial Intelligence Systems in Ophthalmology

    • Paisan Ruamviboonsuk, Natsuda Kaothanthong, Thanaruk Theeramunkong, Varis Ruamviboonsuk
    Pages 31-53
  4. Autonomous Artificial Intelligence Safety and Trust

    • Michael D. Abramoff
    Pages 55-67
  5. Technical Aspects of Deep Learning in Ophthalmology

    • Zhiqi Chen, Hiroshi Ishikawa
    Pages 69-75
  6. Experimental Artificial Intelligence Systems in Ophthalmology: An Overview

    • Joelle A. Hallak, Kathleen Emily Romond, Dimitri T. Azar
    Pages 87-99
  7. Artificial Intelligence in Age-Related Macular Degeneration (AMD)

    • Yifan Peng, Qingyu Chen, Tiarnan D. L. Keenan, Emily Y. Chew, Zhiyong Lu
    Pages 101-112
  8. AI and Glaucoma

    • Zhiqi Chen, Gadi Wollstein, Joel S. Schuman, Hiroshi Ishikawa
    Pages 113-125
  9. Artificial Intelligence in Retinopathy of Prematurity

    • Brittni A. Scruggs, J. Peter Campbell, Michael F. Chiang
    Pages 127-138
  10. Artificial Intelligence in Diabetic Retinopathy

    • Andrzej Grzybowski, Piotr Brona
    Pages 139-159
  11. Google and DeepMind: Deep Learning Systems in Ophthalmology

    • Xinle Liu, Akinori Mitani, Terry Spitz, Derek J. Wu, Joseph R. Ledsam
    Pages 161-176
  12. Singapore Eye Lesions Analyzer (SELENA): The Deep Learning System for Retinal Diseases

    • David Chuen Soong Wong, Grace Kiew, Sohee Jeon, Daniel Ting
    Pages 177-185
  13. Artificial Intelligence for Keratoconus Detection and Refractive Surgery Screening

    • José Luis Reyes Luis, Roberto Pineda
    Pages 193-201
  14. Artificial Intelligence for Cataract Management

    • Haotian Lin, Lixue Liu, Xiaohang Wu
    Pages 203-206
  15. Artificial Intelligence in Refractive Surgery

    • Yan Wang, Mohammad Alzogool, Haohan Zou
    Pages 207-213
  16. Artificial Intelligence in Cataract Surgery Training

    • Nouf Alnafisee, Sidra Zafar, Kristen Park, Satyanarayana Swaroop Vedula, Shameema Sikder
    Pages 215-226
  17. Artificial Intelligence in Ophthalmology Triaging

    • Yiran Tan, Stephen Bacchi, Weng Onn Chan
    Pages 227-233

About this book

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.

Editors and Affiliations

  • Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland

    Andrzej Grzybowski

About the editor

Andrzej Grzybowski, MD, PhD, MBA, is a Professor of Ophthalmology and Chair of Department of Ophthalmology at the University of Warmia and Mazury, Olsztyn, Poland; Head of Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.

Professor Grzybowski is active in international scientific societies including the European Academy of Ophthalmology (Treasurer), American Academy of Ophthalmology (International Fellow; member of the Global ONE Advisory Board and Museum of Vision’s Program Committee), European Association for Vision and Research (Board member and chair of cataract section), ESCRS (curator of ESCRS Archive), and ISRS (member of the ISRS International Council), Euretina (Co-opted Board member 2016-2018), Retina Society,  International Council of Ophthalmology (programme coordinator for WCO in 2011-2018), and Cogan Society. He has been active contributor to major ophthalmic conferences worldwide, including AAO (Achievement Award 2017, International Scholar Award 2018), APAO (International Coordinator 2017, Achievement Award 2018), WCO (Programme Coordinator 2010-2018), Euretina, ESCRS, EVER, ISOPT, etc.

Professor Grzybowski has been an editor, editor in chief and author of more than 500 peer-reviewed international publications (total IF higher than 1000), and over 50 book’s chapters and reviewer for more than 20 journals. He is a member of editorial boards of American Journal of Ophthalmology, Acta Ophthalmologica, PLOS One, Graefe’s Archive for Clinical and Experimental Ophthalmology, Translational Vision Science & Technology (TVST), BMC Ophthalmology, Clinics in Dermatology, Journal of Clinical Medicine, Frontiers in Neurology, Asia Pacific Academy of Ophthalmology Journal, and editor in chief of Archives of History and Philosophy of Medicine and Historia Ophthalmologica Internationalis.

He was included in TOP 2% ranking of world-best scientists prepared by Stanford University for 2019, and according to Expertscape he was ranked No 1 in cataract field worldwide, and No 4 in cataract extraction field worldwide. He has authored and conducted the largest European diabetic retinopathy screening project based on artificial intelligence aimed to test 40,000 diabetic patients sponsored by EU funds. He collaborates in AI projects with leading European, US and Asian scientific teams.

Bibliographic Information

  • Book Title: Artificial Intelligence in Ophthalmology

  • Editors: Andrzej Grzybowski

  • DOI: https://doi.org/10.1007/978-3-030-78601-4

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-78600-7Published: 14 October 2021

  • Softcover ISBN: 978-3-030-78603-8Published: 15 October 2022

  • eBook ISBN: 978-3-030-78601-4Published: 13 October 2021

  • Edition Number: 1

  • Number of Pages: VI, 286

  • Number of Illustrations: 9 b/w illustrations, 99 illustrations in colour

  • Topics: Ophthalmology, Artificial Intelligence

Buy it now

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access