Lim Chee-Peng, Chen Yen-Wei et al. (eds.) Handbook of Artificial Intelligence in Healthcare. Volume 2: Practicalities and Prospects

Springer, 2022. — 429 p. — (Intelligent Systems Reference Library 212). — ISBN: 978-3-030-83619-1.Artificial Intelligence (AI) has transformed many aspects of our daily activities. The Health and well-being of humans stand as one of the key domains where AI has achieved significant progress, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel to the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies about healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance the health and well-being development of humans.Practicalities of AI Methodologies in Healthcare
Intelligent Paradigms for Diagnosis, Prediction, and Control in Healthcare Applications
Artificial Intelligence in Healthcare Practice: How to Tackle the “Human” Challenge
A Statistical Analysis Handbook for Validating Artificial Intelligence Techniques Applied in Healthcare
Designing Meaningful, Beneficial and Positive Human-Robot Interactions with Older Adults for Increased Wellbeing During Care Activities
Wearable Accelerometers in Cancer Patients
Online Application of a Home-Administered Parent-Mediated Program for Children with ASD
Explainable AI, But Explainable to Whom? An Exploratory Case Study of xAI in Healthcare
Pandemic Spreading in Italy and Regional Policies: An Approach with Self-organizing Maps
Biases in Assigning Emotions in Patients Due to Multicultural Issues
Prospects of AI Methodologies in Healthcare
Artificial Intelligence in Healthcare: Directions of Standardization
Development of Artificial Intelligence in Healthcare in Russia
Robotics in Healthcare
Smart Healthcare, IoT and Machine Learning: A Complete Survey
Digital Business Models in the Healthcare Industry
Advances in XAI: Explanation Interfaces in Healthcare
Medical Knowledge Graphs in the Discovery of Future Research Collaborations
Biometric System De-identification: Concepts, Applications, and Open Problems