This edited book provides information on emerging fields of
next-generation healthcare informatics with a special emphasis on
emerging developments and applications of artificial intelligence, deep
learning techniques, computational intelligence methods, Internet of
medical things (IoMT), optimization techniques, decision making,
nanomedicine, and cloud computing. The book provides a conceptual
framework and roadmap for decision-makers for this transformation. The
chapters involved in this book cover challenges and opportunities for
diabetic retinopathy detection based on deep learning applications, deep
learning accelerators in IoT and IoMT, health data analysis, deep
reinforcement-based conversational AI agent in healthcare systems,
examination of health data performance, multisource data in intelligent
medicine, application of genetic algorithms in health care, mental
disorder, digital healthcare system with big data analytics, encryption
methods in healthcare data security, computation and cognitive bias in
healthcare intelligence and pharmacogenomics, guided imagery therapy,
cancer detection and prediction techniques, medical image processing for
coronavirus, and imbalance learning in health care.