Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …

Background Research in embodied artificial intelligence (AI) has increasing clinical
relevance for therapeutic applications in mental health services. With innovations ranging …

An artificially intelligent computer program can now diagnose skin cancer more accurately
than a board-certified dermatologist. 1 Better yet, the program can do it faster and more …

Background It is expected that artificial intelligence (AI) will be used extensively in the
medical field in the future. Objective The purpose of this study is to investigate the …

Background/objectives In the current scenario, artificial intelligence (AI) is going to change
almost all the areas of the medical field. The need is to study the research carried out in this …

Use of chatbots in different spheres of life is continuously increasing since a couple of years.
We attempt to understand the potential of chatbots for breastfeeding education by …

Conversational artificial intelligence (AI) is changing the way mental health care is delivered.
By gathering diagnostic information, facilitating treatment, and reviewing clinician behavior …

Background A blockchain is a list of records that uses cryptography to make stored data
immutable; their use has recently been proposed for electronic medical record (EMR) …

From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics,
virtual reality and mobile applications, rapid advances in technology are transforming the …

Technological advances, particularly in artificial intelligence and robotics, are revolutionizing
the methods and capabilities of rehabilitation research and practice. This chapter provides …