Explainable AI in Healthcare and Medicine
Building a Culture of Transparency and Accountability
Buch in deiner Nähe kaufen
Beschreibung
This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
Highlights the latest advances in explainable AI in health care and medicine by presenting significant findings on theory, methods, systems, and applications Includes revised versions of selected papers presented at the 2020 AAAI International Workshop on Health Intelligence (W3PHIAI2020), held in New York City, USA, on February 7, 2020 Interconnects three major fields: artificial intelligence, medicine, and clinical and public health informatics Emphasizes potential and current applications, clinical and public health benefits, and industrial/entrepreneurial opportunities
Autor*in
Arash Shaban-Nejad
Themen in »Explainable AI in Healthcare and Medicine«
Health Intelligence Precession Medicine Precession Health Digital Medicine Big Data Predictive Analytics Clinical Intelligence Public Health Surveillance Medical Informatics Health Informatics W3PHIAI W3PHIAI2020