Download or read book LLMs and Generative AI for Healthcare written by Kerrie Holley and published by "O'Reilly Media, Inc.". This book was released on 2024-08-20 with total page 222 pages. 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.
Download or read book Llms and Generative AI for Healthcare written by Kerrie Holley and published by . This book was released on 2024-10 with total page 0 pages. 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
Download or read book AI First Healthcare written by Kerrie L. Holley and published by "O'Reilly Media, Inc.". This book was released on 2021-04-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application
Download or read book Mastering NLP from Foundations to LLMs written by Lior Gazit and published by Packt Publishing Ltd. This book was released on 2024-04-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.
Download or read book Proceedings of the Future Technologies Conference FTC 2023 Volume 1 written by Kohei Arai and published by Springer Nature. This book was released on 2023-11-01 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.
Download or read book A Glimpse at Medicine in the Future written by Mandana Hasanzad and published by Springer Nature. This book was released on with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Writing In House Medical Device Software in Compliance with EU UK and US Regulations written by Philip S. Cosgriff and published by CRC Press. This book was released on 2024-03-26 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to producing medical software for routine clinical use. It is a practical guidebook for medical professionals developing software to ensure compliance with medical device regulations for software products intended to be sold commercially, shared with healthcare colleagues in other hospitals, or simply used in-house. It compares requirements and latest regulations in different global territories, including the most recent EU regulations as well as UK and US regulations. This book is a valuable resource for practising clinical scientists producing medical software in-house, in addition to other medical staff writing small apps for clinical use, clinical scientist trainees, and software engineers considering a move into healthcare. The academic level is post-graduate, as readers will require a basic knowledge of software engineering principles and practice. Key Features: Up to date with the latest regulations in the UK, the EU, and the US Useful for those producing medical software for routine clinical use Contains best practice
Download or read book LLM and Generative AI for Healthcare written by Anand Vemula and published by Independently Published. This book was released on 2024-07-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "LLM and Generative AI for Healthcare: A Comprehensive Guide" explores the transformative power of Large Language Models (LLMs) and Generative AI in the healthcare industry. This book provides a deep dive into how these cutting-edge technologies are revolutionizing medical practices, enhancing patient care, and optimizing operational efficiency. The journey begins with an introduction to LLMs and Generative AI, offering a clear understanding of their evolution, capabilities, and significance in healthcare. It delves into the fundamentals of healthcare data, emphasizing the types of data, privacy, security considerations, and regulatory compliance, which are crucial for any AI application in this sector. In the second part, the book showcases various applications of AI in healthcare. It covers AI's role in medical imaging and diagnostics, highlighting advancements in radiology and automated image analysis through real-world case studies. The book also explores Natural Language Processing (NLP) applications, including clinical documentation, EHR management, voice assistants, and text mining for research and drug discovery. Furthermore, it discusses personalized medicine, predictive analytics for patient outcomes, and AI's role in drug discovery and development. The third part focuses on the implementation of AI solutions in healthcare. It provides practical guidance on designing AI systems, integrating them with existing healthcare infrastructure, and key design considerations. The book also covers data management, preprocessing techniques, and ensuring data quality, followed by model training, evaluation, deployment strategies, and continuous improvement. Real-world case studies and lessons learned from successful AI implementations are presented in the fourth part. This section also addresses the ethical and legal considerations of AI in healthcare, emphasizing the importance of fairness, transparency, and compliance with regulations. The book concludes with a look at future trends and innovations in AI, preparing readers for upcoming technological advancements. The final part offers hands-on tutorials and exercises, guiding readers through the setup and use of popular AI tools and libraries. It includes basic and advanced projects, such as building medical chatbots and diagnostic tools, to reinforce learning and practical application. "LLM and Generative AI for Healthcare: A Comprehensive Guide" is an essential resource for healthcare professionals, data scientists, and AI enthusiasts looking to harness the power of AI to improve healthcare outcomes.
Download or read book Transfer Diffusion and Adoption of Next Generation Digital Technologies written by Sujeet K. Sharma and published by Springer Nature. This book was released on 2023-12-12 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Download or read book Digital Progress and Trends Report 2023 written by The World Bank and published by World Bank Publications. This book was released on 2024-03-19 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000†“22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Download or read book Innovation and Economic Development written by Raja M. Almarzoqi and published by Taylor & Francis. This book was released on 2024-09-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past two decades, several sudden, unforeseen, and significant changes have occurred in the world's political and economic landscape. This book explores their impact on the processes of contemporary disruptive innovations during the Fourth Industrial Technology Revolution and the role that global finance and international commerce play. The expansion of multinational corporations, increasing dependence on global supply chains, and the globalization of the world economy have aided the rising expansion of Innovations worldwide. The authors analyze the drivers and relationship between these increasingly dispersed Innovations and the expanding linkage between economic growth in developed and developing countries. Progress will continue with technological innovations in financial services, lowering the cost to consumers and companies. Financial transactions will be executed increasingly by the individual using their cell phone or computer. Electronic digital payments and banking will replace currency. This book focuses on Innovations in advanced countries and examines developments in emerging markets and the implications for the world's future economic growth. The collaborative expansion and dispersion of online education across different cultures impact labor markets, diversity and immigration, and the rise and expansion of women entrepreneurial Innovators. The progression of global access to higher levels of education is changing the culture, values, and institutional foundations supporting Innovation. Knowledge of the expanding Innovation Ecosystems is crucial for understanding contemporary global business and entrepreneurship, international trade and capital flows, and investments impacting world history and economic, social, and political sciences subjects.
Download or read book Computer Vision In Medical Imaging written by Chi Hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 100 SOA Questions written by Kerrie Holley and published by Pearson Education. This book was released on 2010-11-12 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 100 SOA Questions brings together authoritative answers to the most crucial questions business, technical, and architectural decision-makers ask about SOA. It draws on the immense experience of two SOA experts who’ve participated in more than 100 SOA projects in the roles of architect, designer, consultant, technical manager, and strategist. Organized to reflect the Open Group’s Open Services Integration Maturity Model (OSIMM), this book provides fast, convenient access to information about all facets of SOA planning, implementation, management, and utilization. This book will be an invaluable resource for all executives, architects, and practitioners who have just started their SOA journey or are well underway. In-depth answers to questions about SOA topics such as • SOA Concepts and Planning • Business Strategy • Organization and Support • Governance • Methods and Techniques • Applications • Architecture • Information Management • Infrastructure • The Future of SOA 100 SOA Questions answers the most critical questions executives and practitioners have about SOA. Kerrie Holley and Dr. Ali Arsanjani draw on their unsurpassed experience from hundreds of SOA projects conducted worldwide. • Why should business stakeholders care about SOA? • What is the return on investment (ROI) of SOA adoption? • What is flexibility and how does SOA deliver on this promise? • Should service development be centralized in service centers? • How should services be identified or specified to maximize reuse? • How do SOA methods reduce the lifetime costs for applications? • How can organizational barriers to SOA success be removed? • What changes with application development when SOA is introduced? • How does architecture change as a result of SOA adoption? • What is a canonical message model? • How does the SOA infrastructure support events? • What are context-aware services?
Download or read book Predictive Intelligence in Biomedical and Health Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-10-12 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Download or read book Advances in Artificial Systems for Medicine and Education written by Zhengbing Hu and published by Springer. This book was released on 2017-08-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the latest artificial intelligence systems and methods, which have a broad spectrum of effective and sometimes unexpected applications in medical, educational and other fields of sciences and technology. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. The book focuses on the intensive development of bio-mathematical studies on living organism patents, which ensure the noise immunity of genetic information, its quasi-holographic features, and its connection with the Boolean algebra of logic used in technical artificial intelligence systems. In other words, the study of genetic systems and creation of methods of artificial intelligence go hand in hand, mutually enriching enrich each other. These proceedings comprise refereed papers presented at the 1st International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2017), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia on 21–23 August 2017. The topics discussed include advances in thematic mathematics and bio-mathematics; advances in thematica medical approaches; and advances in thematic technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications
