American Statistical Association bulletin

• Record Nr.: UNINA9910140259603321
• Pubbl/distr/stampa: Washington, D.C., : American Statistical Association, 1938-
• Disciplina: 310
• Soggetti: Estadística; Revistes electròniques; periodicals.; Periodicals.; Périodiques.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Periodico

Artificial Intelligence and Ophthalmology : Perks, Perils and Pitfalls / / edited by Parul Ichhpujani, Sahil Thakur

• Record Nr.: UNINA9910484596003321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• ISBN: 9789811606342; 981160634X
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (149 pages)
• Collana: Current Practices in Ophthalmology, , 2523-3815
• Disciplina: 617.700285
• Soggetti: Ophthalmology; Oftalmologia; Intel·ligència artificial en medicina; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: 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.