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Artificial Intelligence Healthcare Analyst - The Comprehensive Guide

Author : VIRUTI SHIVAN

Publisher : Viruti Satyan Shivan

Page : 226 pages

File Size : 12,16 MB

Release :

Category : Computers

ISBN :

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Book Description

In the rapidly evolving world of healthcare, Artificial Intelligence (AI) stands at the forefront, heralding a new era of precision, efficiency, and patient-centric care. "Artificial Intelligence Healthcare Analyst - The Comprehensive Guide" offers an unprecedented journey into the heart of this transformation, equipping professionals, enthusiasts, and newcomers with the knowledge to navigate, innovate, and excel in this dynamic field. Without relying on images or illustrations for clarity, this guide transcends the conventional, offering a deeply engaging and insightful exploration into how AI technologies are reshaping healthcare analytics, decision-making processes, and patient outcomes. Through vivid hypothetical scenarios and personal anecdotes from industry insiders, readers will discover the untapped potential of AI in healthcare, understanding its implications, ethical considerations, and the pathway to becoming proficient AI healthcare analysts. Dive into a world where data becomes a beacon of hope, and algorithms the architects of a healthier future. This book is more than just a guide; it's an invitation to be part of a revolution that promises to redefine healthcare delivery. As we peel back the layers of complexity surrounding AI applications in healthcare, readers will gain not only a comprehensive understanding of the tools and technologies but also an appreciation for the profound impact AI can have on human health. Without the need for images, the narrative is rich with examples and theoretical discussions that bring the subject to life, making "Artificial Intelligence Healthcare Analyst - The Comprehensive Guide" an essential resource for anyone looking to make a meaningful impact in the healthcare industry through the power of AI.



Artificial Intelligence in Healthcare

Author : Adam Bohr

Publisher : Academic Press

Page : 385 pages

File Size : 35,89 MB

Release : 2020-06-21

Category : Computers

ISBN : 0128184396

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Book Description

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



AI in Health

Author : Tom Lawry

Publisher : CRC Press

Page : 203 pages

File Size : 29,96 MB

Release : 2020-02-05

Category : Business & Economics

ISBN : 1000036324

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Book Description

We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.



Artificial Intelligence in Medicine

Author : David Riaño

Publisher : Springer

Page : 431 pages

File Size : 11,48 MB

Release : 2019-06-19

Category : Computers

ISBN : 303021642X

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Book Description

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.



Artificial Intelligence in Healthcare

Author : Lalit Garg

Publisher : Springer Nature

Page : 157 pages

File Size : 28,40 MB

Release : 2021-10-29

Category : Technology & Engineering

ISBN : 9811662657

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Book Description

This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.



Artificial Intelligence in Medical Imaging

Author : Erik R. Ranschaert

Publisher : Springer

Page : 369 pages

File Size : 45,68 MB

Release : 2019-01-29

Category : Medical

ISBN : 3319948784

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Book Description

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.



Handbook of Artificial Intelligence in Healthcare

Author : Chee-Peng Lim

Publisher :

Page : 0 pages

File Size : 46,37 MB

Release : 2022

Category :

ISBN : 9783030791629

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Book Description

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.



Machine Learning and AI for Healthcare

Author : Arjun Panesar

Publisher : Apress

Page : 390 pages

File Size : 21,82 MB

Release : 2019-02-04

Category : Computers

ISBN : 1484237994

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Book Description

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.



A Human's Guide to Machine Intelligence

Author : Kartik Hosanagar

Publisher : Viking Adult

Page : 274 pages

File Size : 46,53 MB

Release : 2019

Category : Business & Economics

ISBN : 0525560882

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Book Description

In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives.



AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence

Author : Rick Spair

Publisher : Rick Spair

Page : 461 pages

File Size : 15,26 MB

Release : 2023-06-06

Category : Computers

ISBN :

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Book Description

"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" is a groundbreaking book that provides a comprehensive and practical exploration of the applications, strategies, and considerations involved in leveraging artificial intelligence (AI) in various business domains. Written for professionals, decision-makers, and enthusiasts alike, this book serves as a roadmap to help organizations harness the power of AI to drive innovation, improve efficiencies, and gain a competitive edge in the modern digital landscape.