Application Of Multimodal Imaging Combined With Artificial Intelligence In Eye Diseases


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Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases


Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases

Author: Xin Huang

language: en

Publisher: Frontiers Media SA

Release Date: 2023-10-18


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Artificial Intelligence in Ophthalmology


Artificial Intelligence in Ophthalmology

Author: Andrzej Grzybowski

language: en

Publisher: Springer

Release Date: 2022-10-15


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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.

Precision Health in the Digital Age: Harnessing AI for Personalized Care


Precision Health in the Digital Age: Harnessing AI for Personalized Care

Author: Papadopoulou, Paraskevi

language: en

Publisher: IGI Global

Release Date: 2024-12-06


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The evolving healthcare landscape is now challenging healthcare providers and researchers to deliver personalized care considering individual genetic, lifestyle, and environmental factors. To tailor treatments and interventions to each patient's unique profile in a timely manner, they need to harness the vast amounts of readily available data. Artificial intelligence (AI) has immense potential to revolutionize precision health by enabling the analysis of large datasets and generating actionable insights for personalized care. However, implementing AI in healthcare comes with challenges, including ethical considerations, regulatory frameworks, and the need for healthcare professionals to develop competencies in AI technologies. Precision Health in the Digital Age: Harnessing AI for Personalized Care offers a comprehensive solution for healthcare professionals, researchers, and policymakers seeking to leverage AI in precision health. The book explores the latest advancements in AI technologies, showcases their applications in precision medicine, and provides a roadmap for integrating AI into healthcare systems. It offers practical insights for improving patient outcomes through case studies and real-world examples of successful implementations of AI-driven precision medicine and health solutions.