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Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

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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


Artificial Intelligence (ai) In Healthcare

Artificial Intelligence (ai) In Healthcare
Author: Enrico Guardelli
Publisher: Clube de Autores
Total Pages: 164
Release: 2024-05-22
Genre: Medical
ISBN:

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Artificial Intelligence (AI) has emerged as a powerful ally in the healthcare sector, revolutionizing the way medical professionals diagnose, treat, and manage diseases. By integrating advanced machine learning algorithms and natural language processing, AI has demonstrated its ability to swiftly and accurately analyze vast medical datasets, providing valuable insights that can lead to more precise diagnoses and effective treatments. From interpreting medical imaging to real-time patient monitoring, the applications of AI in healthcare are vast and multifaceted, promising to significantly enhance the quality of medical care and ultimately save lives. In this book Artificial Intelligence in Healthcare: Next Frontier you will gain a comprehensive overview of how medtechs are leading the way in applying artificial intelligence (AI) in the healthcare sector. These companies are at the forefront of innovation, exploring AI s potential to improve healthcare worldwide. By examining these startups, we can learn much about AI s potential in healthcare and how it is shaping the future of the industry. Through ongoing research and development efforts, these companies are helping to pave the way for more effective, accessible, and personalized healthcare for all.


Artificial Intelligence and Healthcare

Artificial Intelligence and Healthcare
Author: Natasha H. Williams
Publisher: Springer Nature
Total Pages: 121
Release: 2024-01-01
Genre: Philosophy
ISBN: 303148262X

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This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers, ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.


AI-Powered Healthcare

AI-Powered Healthcare
Author: Hebooks
Publisher: Hebooks
Total Pages: 118
Release:
Genre: Antiques & Collectibles
ISBN:

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Dive into the future of healthcare with "AI-Powered Healthcare: How Artificial Intelligence Will Revolutionize Medical Care." This enlightening book unravels the transformative potential of artificial intelligence (AI) in the realm of medical care. From accelerating diagnostics to revolutionizing drug discovery, AI is poised to reshape healthcare practices. Explore the integration of cutting-edge technologies, understand the challenges, and envision a healthcare landscape where AI and human expertise coalesce for the betterment of patient outcomes. Embark on a journey to discover the immense possibilities at the intersection of AI and healthcare.


AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management

AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management
Author: Dizzy Davidson
Publisher: Pure Water Books
Total Pages: 149
Release: 2024-07-25
Genre: Computers
ISBN:

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Are you struggling to fully understand the impact of AI in healthcare? Do you wonder how AI can revolutionize diagnosis, treatment, and patient management? Look no further! This book, “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management,” is your comprehensive guide to navigating the complex world of AI in the medical field. Discover the transformative power of AI in diagnosing diseases, creating personalized treatment plans, performing robotic surgeries, and managing patient records. This book provides you with the knowledge and tools to harness AI’s potential, ensuring you stay ahead in the rapidly evolving healthcare landscape. Benefits of reading this book: Gain a deep understanding of AI applications in healthcare. Learn how AI enhances diagnostic accuracy and treatment efficacy. Explore real-world case studies and success stories. Understand the ethical and legal considerations of AI in medicine. Discover how AI can streamline administrative tasks and reduce costs. Why this book is essential: Comprehensive Coverage: From disease detection to robotic surgeries, this book covers all critical aspects of AI in healthcare. Expert Insights: Written by industry experts, it provides valuable insights and practical knowledge. Real-World Applications: Learn from real-world examples and case studies that illustrate the successful implementation of AI. Future Trends: Stay informed about emerging trends and technologies shaping the future of healthcare. Viral Bullet Points: Unlock the secrets of AI-driven diagnostics. Discover how AI personalizes treatment plans. Explore the future of robotic-assisted surgeries. Learn how AI manages patient records efficiently. Understand the ethical implications of AI in healthcare. Call to Action: Don’t miss out on the opportunity to revolutionize your understanding of AI in healthcare. Get your copy of “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management” today! Equip yourself with the knowledge to leverage AI’s potential and become a leader in the healthcare industry.


Deep Medicine

Deep Medicine
Author: Eric Topol
Publisher: Basic Books
Total Pages: 373
Release: 2019-03-12
Genre: Health & Fitness
ISBN: 1541644646

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A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.


Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine
Author: Kayvan Najarian
Publisher: CRC Press
Total Pages: 300
Release: 2022-04-06
Genre: Computers
ISBN: 1000565815

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This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.


Artificial Intelligence Applications for Health Care

Artificial Intelligence Applications for Health Care
Author: Mitul Kumar Ahirwal
Publisher: CRC Press
Total Pages: 332
Release: 2022-04-15
Genre: Business & Economics
ISBN: 1000570304

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This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book. Key Features Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems Provides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.


Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Parag Suresh Mahajan MD
Publisher: Parag Suresh Mahajan
Total Pages: 230
Release: 2018-07
Genre: Medical
ISBN: 9789353516833

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About the book - Artificial Intelligence in Healthcare Do you want to know the relationship between Artificial Intelligence (AI) & healthcare, & how AI is improving healthcare? Technology is evolving rapidly, & you need to keep up to stay at the top. Artificial Intelligence (AI) is revolutionizing all aspects of healthcare & this book is intended to be your companion on this journey. It's a power-packed AI book that guides you about the current state and future applications of AI in healthcare, including those under development, in a simple to understand language. It discusses the ethical concerns related to the use of AI in healthcare, principles of AI & how it works, the vital role of AI in all major medical specialties and health insurance, & the role of start-ups and corporate players in AI in healthcare. About the Author - Dr Parag Suresh Mahajan MD Dr. Parag Mahajan is an Accomplished Entrepreneurial CEO of multiple Healthcare Start-ups, Radiologist, Clinical Informatician, Teacher, Researcher, and Author. His current interests include the development of Start-ups in the fields of Artificial Intelligence in Healthcare, Blockchain in Healthcare, Electronic Health Records, and Medical eLearning Systems.


Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: David Riaño
Publisher: Springer
Total Pages: 431
Release: 2019-06-19
Genre: Computers
ISBN: 303021642X

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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.