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Artificial Intelligence in Medicine and Surgery : An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1.

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Format:
Book
Author/Creator:
Stawicki, Stanislaw P.
Language:
English
Physical Description:
1 online resource (344 pages)
Edition:
1st ed.
Place of Publication:
London : IntechOpen, 2023.
Summary:
Human history is filled with inventions and other innovations that resulted in a significant and lasting change in our civilization's course of development.From gasoline-powered vehicles to transistor-based electronics or jet airplanes, things we now take for granted often appeared suddenly and unexpectedly.
Contents:
Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends - Volume 1
Contents
Preface
Section 1 - Introduction
Chapter1 Introductory Chapter: Artificial Intelligence in Healthcare - Where DoWe Go from Here?
Section 2 Artificial Intelligence and Machine Learning: General Considerations
Chapter2 Unlocking the Potential of Artificial Intelligence (AI) for Healthcare
Chapter3 Types of Artificial Intelligence and Future of Artificial Intelligence in Medical Sciences
Chapter4 Artificial Intelligence in Healthcare: Doctor as a Stakeholder
Chapter5 Artificial Intelligence Starts the Big Bang of Modern Medicine and Surgery
Section 3 Focus on Clinical Applications of Artificial Intelligence and Machine Learning
Chapter6 Human-Machine Collaboration in AI-Assisted Surgery: Balancing Autonomy and Expertise
Chapter7 Application of Computer-Assisted Surgery System Based on Artificial Intelligence in Pediatric Precise Oncological Surgery
Chapter8 Application and Prospect of Telesurgery: The Role of Artificial Intelligence
Chapter9 Artificial Intelligence in Surgery, Surgical Subspecialties, and Related Disciplines
Chapter10 Artificial Intelligence: Development and Applications in Neurosurgery
Chapter11 AI in Healthcare: Implications for Family Medicine and Primary Care
Chapter12 Artificial Intelligence in Musculoskeletal Conditions
Section 4 Artificial Intelligence and Machine Learning: Applications in Healthcare Diagnostics Monitoring and Clinical Workflow Management
Chapter13 The New Landscape of Diagnostic Imaging with the Incorporation of ComputerVision
Chapter14 Developing and Deploying a Sepsis Deterioration Machine Learning Algorithm.
Chapter15 A New Liver Segmentation Based on Digital Liver Portal Vein Ramification Using Computer-Assisted Surgery System: Exploring Artificial Intelligence
Chapter16 Fuzzy Expert System for Rectal Cancer Based on Possibility Measure.
Notes:
Description based on publisher supplied metadata and other sources.

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