Artificial Intelligence and Ophthalmology

Perks, Perils and Pitfalls

Parul Ichhpujani, Sahil Thakur (Herausgeber)

Buch | Hardcover

150 Seiten

2021 | 1st ed. 2021
Springer Verlag, Singapore
978-981-16-0633-5 (ISBN)

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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.

Dr. Parul Ichhpujani is currently a professor at the department of ophthalmology, Government Medical College and Hospital, Chandigarh, India, where she is chiefly responsible for glaucoma and neuro-ophthalmology services. She completed her glaucoma training at the Advanced Eye Centre, Postgraduate Institute of Medical Education and Research, Chandigarh, India and in a subsequent clinical research fellowship, under Dr. George L Spaeth, at Wills Eye Institute, Philadelphia, USA. She currently serves on the education committee of the World Glaucoma Association and is the associate managing editor of the Journal of Current Glaucoma Practice. She was ranked among the Powerlist 2015 for the “Best 40 ophthalmologists under 40”. An avid researcher, Dr. Ichhpujani has co-authored three books: “Pearls in Glaucoma Therapy”, “Living with Glaucoma”, and “Smart Resources in Ophthalmology”; and has edited another eight: “Expert Techniques in Ophthalmology”, “Glaucoma: Basic and Clinical Perspectives”, “Manual of Glaucoma”, “Clinical Cases in Glaucoma: An Evidence-Based Approach”, “Glaucoma: Intraocular Pressure and Aqueous Dynamics”, “Current Advances in Ophthalmic Technology”, “Glaucoma” and “Ophthalmic Instruments and Surgical Tools”. She is also the Springer series editor for the ‘Current Practices in Ophthalmology’ series. She has also contributed several research articles and book chapters in national and international books and serves as a reviewer for many ophthalmology journals. She is heavily involved in resident and fellow teaching. Dr. Sahil Thakur (MBBS, MS) graduated from Government Medical College and Hospital, Chandigarh, India. He is currently a clinical research fellow at the Singapore Eye Research Institute. Apart from pursuing clinical ophthalmology, he has a keen interest in developing affordable medical technology and clinical photography. He is also involved in the research and development ofdigital solutions for faster and efficient diagnosis of common ophthalmic disorders. Previously he has co-authored a book, ‘Smart Resources in Ophthalmology: Applications and Social Networking’ and has more than 50 peer-reviewed publications. Dr. Thakur also has an interest in developing tools for ophthalmic education and has published two Android applications (Ophthalmaster and Ophthalminion) for use by residents and medical school students.

1 A Clinician's Introduction to Artificial Intelligence.- 2 What you need to know about Artificial Intelligence: Technical Introduction.- 3 Artificial Intelligence and Ophthalmology: An Overview.- 4 Artificial Intelligence in cornea and refractive surgery.- 5 Artificial Intelligence and Cataract.- 6 Artificial Intelligence and Glaucoma.- 7 Artificial Intelligence in Retinal Diseases.- 8 Artificial intelligence in neuro-ophthalmology.- 9 Artificial Intelligence and Other Applications in Ophthalmology and Beyond.- 10 The Economics of Big Data.- 11 Ethics and Artificial Intelligence: The Pandora’s Box.

Erscheinungsdatum	30.04.2021
Reihe/Serie	Current Practices in Ophthalmology
Zusatzinfo	8 Illustrations, color; 6 Illustrations, black and white; VII, 150 p. 14 illus., 8 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Medizin / Pharmazie ► Medizinische Fachgebiete ► Augenheilkunde
Schlagworte	Artificial Intelligence in Medicine • Artificial intelligence in ophthalmology • Deep learning in ophthalmic disorders • Ethical issues and artificial Intelligence • Machine learning in ophthalmic disorders
ISBN-10	981-16-0633-1 / 9811606331
ISBN-13	978-981-16-0633-5 / 9789811606335
Zustand	Neuware