Artificial Intelligence and Machine Learning in Healthcare - Softcover

Softcover

ISBN 10: 9819964741 ISBN 13: 9789819964741

Publisher: Springer, 2024

Synopsis

This book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriersto rapid implementation of AI in healthcare.

About this title

About the Author

Dr. Dharmendra Kumar Yadav is presently working as Assistant Professor at Department of Statistics & Demography, National Institute of Health & Family Welfare (NIHFW), New Delhi, India. He is also Assistant Nodal Officer of Learning Management Information System (LMIS), Ministry of Health & Family Welfare (MoHFW), Government of India. Dr. Yadav is Fellow of Royal Statistical Society (FRSS), London, UK, and Elected Member of International Statistical Institute (ISI), Netherlands. His fields of specialization are Artificial Intelligence, Machine Learning, Health Informatics, Computational Statistics, and Sampling Theory. He has teaching and research experience at University of Lucknow and University of Delhi. He has almost 25 research publications in various journals of national and international repute. He has been Editor of 6 edited books and contributed 13 chapters to various books. He has attended more than 20 national and international workshops and training programs inIndia and abroad. Dr. Yadav has received InSc Research Excellence Award-2020 by Institute of Scholars (InSc) Bangalore, India, for his outstanding research. Recently, he received Excellent Presentation Award at FIM international conference-2021 at Waseda University, Japan.

Dr. Anamika is Assistant Professor at the Center for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, and Convener and Innovation Ambassador of Institute’s Innovation Council and Coordinator, National Innovation Startup Policy, Ministry of Education’s Innovation Cell. She currently holds an experience of about 15 years in various pharmaceutical industries (such as Novartis Healthcare) and academia. She is Editorial Board Member of Precision Medicine Research Journal and Canadian Journal of Applied Pharmacy. In terms of professional appreciation, she has been awarded with Above and Beyond Ovations Award 2014 in recognition of working with India CPO Oncology and Sandoz to provide publication writing training to medical doctors, including oncologists at medical institutions throughout India and supporting the ‘Catch them Young Initiative’ and Above and Beyond Ovations Award 2016 in recognition for collaborating with India oncology CPO to provide scientific writing training to oncologists at leading hospitals in India. During the years of experience, she has presented her research at various national and international platforms in the form of conference presentations as well as manuscript publications.

From the Back Cover

This book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 9819964741
• ISBN 13: 9789819964741
• Binding: Paperback
• Number of pages: 193
• Editor: Yadav Dharmendra Kumar, Gulati Anamika