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Handbook of Artificial Intelligence in Healthcare Vol. 1 - Advances and Applications

Title
Handbook of Artificial Intelligence in Healthcare [electronic resource] : Vol. 1 - Advances and Applications / edited by Chee-Peng Lim, Ashlesha Vaidya, Kiran Jain, Virag U. Mahorkar, Lakhmi C. Jain.
ISBN
9783030791612
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XVII, 456 p.) 154 illus., 133 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Series
Intelligent Systems Reference Library, 211
Intelligent Systems Reference Library, 211
Contents
Advances in artificial intelligence for the identification of epileptiform discharges
Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank
Autistic verbal behaviour language parameterization
Case studies to demonstrate real-world applications in ophthalmic image analysis
Segmentation of petri plate images for automatic reporting of urine culture tests
Repurposing routine imaging for cancer biomarker discovery using machine learning.
Citation

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