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Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

Hashimoto, Daniel A
Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice Cover Image
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Book Information
Edition: 1st
Publisher: McGraw-Hill Incorporated
ISBN: 1-260-45273-5 (1260452735)
ISBN-13: 978-1-260-45273-0 (9781260452730)
Binding: Hardcover
Copyright: 2021
Publish Date: 06/21
Weight: 2.28 Lbs.
Pages: 432
Subject Class: URL (Urology)
Return Policy: Returns accepted up to 18 months provided no other recalls or return restrictions apply.
Contributing Authors: View
Class Specifications
Discipline: Surgery
Subject Definition: Artificial Intelligence; General Surgery
NLM Class: WO 505
LC Class: RD73
Abstract: Publishers 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 researchWhile 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 nowso 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.

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