Artificial Intelligence in Surgery: An AI Primer for Surgical Practice PDF
By:Daniel A. Hashimoto
Published on 2020-09-22 by McGraw-Hill Education / Medical
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The first surgical AI guide of its kind! Machine learning, neural networks, and computer vision for surgical education, practice, and research While radiology and pathology are on the leading edge of AI in healthcare, surgery is showing tremendous potential for disruption by AI. Written for anyone not steeped in mathematics, technology, or engineering, this matchless guide gets ahead of the knowledge curve now—so you can evaluate new technologies with a critical eye and make informed decisions about bringing AI into your practice. Artificial Intelligence in Surgery covers the history, principles, and main subfields of AI, offering examples of current and near-future use cases for AI in surgery. It gives you a clear understanding of the ethical implications of AI, its potential impact on healthcare policy, and how to read and interpret papers that use AI. The appendix includes a quick reference on AI techniques, their use cases, strengths, and limitations; glossary of terms; important learning resources; and techniques (including examples of appropriate use cases, advantages, and limitations)—all of which can be used to interpret claims made by studies or companies using AI.
This Book was ranked at 4 by Google Books for keyword medical computer application assisted surgery.
Book ID of Artificial Intelligence in Surgery: An AI Primer for Surgical Practice's Books is kQVAzQEACAAJ, Book which was written byDaniel A. Hashimotohave ETAG "bOGJ8C95ZsQ"
Book which was published by McGraw-Hill Education / Medical since 2020-09-22 have ISBNs, ISBN 13 Code is 9781260452730 and ISBN 10 Code is 1260452735
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Book which have "352 Pages" is Printed at BOOK under CategoryMedical
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