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Artificial Intelligence in Healthcare

2020-06-21 Computers
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Release : 2020-06-21
Genre : Computers
Kind : eBook
Book Rating : 396/5 ( reviews)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr. This book was released on 2020-06-21. Available in PDF, EPUB and Kindle. Book excerpt: 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

Deep Medicine

2019-03-12 Health & Fitness
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Release : 2019-03-12
Genre : Health & Fitness
Kind : eBook
Book Rating : 646/5 ( reviews)

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Book Synopsis Deep Medicine by : Eric Topol

Download or read book Deep Medicine written by Eric Topol. This book was released on 2019-03-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Llms and Generative AI for Healthcare

2024-10 Business & Economics
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Release : 2024-10
Genre : Business & Economics
Kind : eBook
Book Rating : 920/5 ( reviews)

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Book Synopsis Llms and Generative AI for Healthcare by : Kerrie Holley

Download or read book Llms and Generative AI for Healthcare written by Kerrie Holley. This book was released on 2024-10. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley and Manish Mathur from Google's Healthcare and Life Sciences Industry team help you explore real-world applications of these technologies in healthcare, from personalized patient care and drug discovery to enhanced medical imaging and robot-assisted surgeries. You'll also learn the challenges of using these technologies--and the ethical implications of their application in this field. With this book, you will: Learn how LLMs and generative AI can help address and transform healthcare issues Explore the basics of LLMs and generative AI and learn how they work Learn how these technologies are being applied in healthcare today Understand several LLM and generative AI use cases Examine the ethics and challenges of applying LLMs and generative AI to healthcare Understand the potential use of LLMs and generative AI in healthcare in the near term and their prospects for the future

Generative AI for Healthcare

2024-04-13 Medical
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Release : 2024-04-13
Genre : Medical
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Generative AI for Healthcare by : Rakesh Kumar

Download or read book Generative AI for Healthcare written by Rakesh Kumar. This book was released on 2024-04-13. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, generative artificial intelligence (AI) has emerged as a powerful tool with transformative potential across various industries, including healthcare. The convergence of advanced machine learning techniques, abundant healthcare data, and innovative algorithms has paved the way for generative AI to revolutionize medical research, diagnosis, treatment, and patient care. "Generative AI for Healthcare" is a comprehensive guide that explores the intersection of generative AI and healthcare, providing insights into the latest developments, applications, challenges, and future directions in this rapidly evolving field. From synthesizing medical images and generating electronic health records to personalized medicine and drug discovery, this book delves into the diverse ways in which generative AI is reshaping the landscape of healthcare delivery and biomedical research. Drawing upon expertise from interdisciplinary domains such as computer science, medicine, bioinformatics, and data science, "Generative AI for Healthcare" offers a holistic perspective on the potential and pitfalls of leveraging generative AI in healthcare. Through real-world case studies, practical examples, and expert insights, readers will gain a deeper understanding of how generative AI technologies are being applied to address critical healthcare challenges, improve patient outcomes, and accelerate medical innovation. Whether you are a healthcare professional, researcher, data scientist, or AI enthusiast, this book serves as a valuable resource for navigating the complex intersection of generative AI and healthcare. By exploring cutting-edge techniques, emerging trends, and ethical considerations, "Generative AI for Healthcare" empowers readers to harness the power of generative AI to drive positive change and innovation in healthcare delivery, ultimately advancing the future of medicine and improving human health worldwide.

LLMs and Generative AI for Healthcare

2024-08-20 Business & Economics
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Release : 2024-08-20
Genre : Business & Economics
Kind : eBook
Book Rating : 894/5 ( reviews)

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Book Synopsis LLMs and Generative AI for Healthcare by : Kerrie Holley

Download or read book LLMs and Generative AI for Healthcare written by Kerrie Holley. This book was released on 2024-08-20. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. With this book, you will: Understand the promise and challenges of LLMs in healthcare Learn the inner workings of LLMs and generative AI Explore automation of healthcare use cases for improved operations and patient care using LLMs Dive into patient experiences and clinical decision-making using generative AI Review future applications in pharmaceutical R&D, public health, and genomics Understand ethical considerations and responsible development of LLMs in healthcare "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry."--Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare. Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.

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