[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124101-en":3,"doc-seo-124101-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124101,7971461740886,"Theodore","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",7,"Healthcare","Artificial Intelligence and Machine Learning in Health Care and Medical Sciences - Best Practices and Pitfalls","Artificial Intelligence and Machine Learning in Health Care and Medical Sciences - Best Practices and Pitfalls presents guidance on using AI and machine learning to improve healthcare delivery. Framed by the Health Informatics series’ focus on innovations in information and knowledge, it highlights how technology-driven data transformation can enable safer, more efficient, and better-targeted care. It also addresses evolving health informatics concepts from clinical records to system-level initiatives, while emphasizing users’ organizational and societal impacts.","Health Informatics  \nGyorgy J. Simon  \nConstantin Aliferis Editors  \nArtificial Intelligence and Machine Learning in Health Care and Medical Sciences  \nBest Practices and Pitfalls  \nHealth Informatics  \nThis series is directed to healthcare professionals leading the transformation of healthcare by using information and knowledge. For over 20 years, Health Informatics has offered a broad range of titles: some address specific professions such as nursing, medicine, and health administration; others cover special areas of practice such as trauma and radiology; still other books in the series focus on interdisciplinary issues, such as the computer based patient record, electronic health records, and networked healthcare systems. Editors and authors, eminent experts in their fields, offer their accounts of innovations in health informatics. Increasingly, these accounts go beyond hardware and software to address the role of information in influencing the transformation of healthcare delivery systems around the world. The series also increasingly focuses on the users of the information and systems: the organizational, behavioral, and societal changes that accompany the diffusion of information technology in health services environments.  \nDevelopments in healthcare delivery are constant; in recent years, bioinformatics has emerged as a new field in health informatics to support emerging and ongoing developments in molecular biology. At the same time, further evolution of the field of health informatics is reflected in the introduction of concepts at the macro or health systems delivery level with major national initiatives related to electronic health records (EHR), data standards, and public health informatics.  \nThese changes will continue to shape health services in the twenty-first century. By making full and creative use of the technology to tame data and to transform information, Health Informatics will foster the development and use of new knowledge in healthcare.  \nGyorgy J. Simon • Constantin Aliferis Editors  \nArtificial Intelligence and Machine Learning in Health Care and Medical Sciences  \nBest Practices and Pitfalls  \nEditors  \nGyorgy J. Simon  \nInstitute for Health Informatics University of Minnesota Minneapolis, MN, USA  \nConstantin Aliferis  \nInstitute for Health Informatics University of Minnesota Minneapolis, MN, USA  \nISSN 1431-1917 ISSN 2197-3741 (electronic)  \nInstitute for Health Informatics  \nISBN 978-3-031-39354-9 ISBN 978-3-031-39355-6 (eBook)  \n[https://doi.org/10.1007/978-3-031-39355-6](https://doi.org/10.1007/978-3-031-39355-6)  \n© The Editor(s) (if applicable) and The Author(s) 2024. This book is an open access publication.  \nOpen Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License ([http://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/licenses/by/4.0/)), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.  \nThe images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.  \nThe use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.  \nThe publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the d","cbCaiuo1KuK7Exv3","https://ap.wps.com/l/cbCaiuo1KuK7Exv3","pdf",25591175,1,824,"English","en",105,"# Foreword\n## Vision for AI-enabled targeted care\n## Motivation and career background","[{\"question\":\"What vision for healthcare is introduced in the foreword?\",\"answer\":\"The foreword describes a world where treatments are precisely targeted, care is efficient and safe, and people receive guidance to manage health at home while partnering in their care.\"},{\"question\":\"Why is AI positioned as important for achieving that healthcare vision?\",\"answer\":\"The text argues that AI can help transform the dream into reality by enabling better outcomes through advanced analysis and decision support in healthcare contexts.\"},{\"question\":\"How do the editors’ background and experiences relate to the book’s themes?\",\"answer\":\"Personal career stories connect interest in language and informatics with natural language processing and medical informatics, reinforcing the book’s focus on practical innovation in health information systems.\"}]","Artificial Intelligence and Machine Learning in Health Care and Medical Sciences - 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