Description: Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field.
This book will be beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field.Brief description:
Dr. Shai Ben-David earned his PhD in mathematics from the Hebrew University. Over the years, he has been a Professor at the Technion, Haifa, Israel and held visiting faculty positions at the Australian National University, Cornell University, ETH Zurich, and TTI Chicago. His research interests span a
range of topics including logic, theory of distributed computation, machine learning, and complexity theory. He routinely serves as a senior area chair in the major machine learning conferences (NeurIPS, ICML, AISTATS, COLT and ALT) and won best paper awards in COLT 2006, NeurIPS 2018 and ALT 2023. He is a co-author of a popular textbook "Understanding Machine Learning: From theory to practice."