Explainable AI in Healthcare and Medicine
Building a Culture of Transparency and Accountability
Arash Shaban-Nejad editor Martin Michalowski editor David L Buckeridge editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:3rd Nov '21
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£139.99(9783030533519)
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.
ISBN: 9783030533540
Dimensions: unknown
Weight: 563g
344 pages
1st ed. 2021