Foreword

Artificial Intelligence (AI) in healthcare and biomedical applications is taking a good shape nowadays. The convergence of AI, the Internet of Things, Blockchain and healthcare aims at delivering features such as scalability, security and privacy to high-level intellectual functions that are beneficial to the new era of digital information. In recent times, AI has touched major milestones by overcoming the challenges faced in realizing the full potential of projects in various fields such as smart homes, agriculture, smart cities, healthcare and medical, etc. Due to these transformations, the data is increasing at a faster rate in terms of size, complexity, variety, and heterogeneity, and in the sequel, computational intelligence, and machine learning is the key contributor to improve business intelligence.

The book outline and contents show that the major coverage of the book includes a brief introduction to the domain, research challenges, literature review and state-of-the-art, different algorithms/techniques / deployment methods, data acquisition techniques including types of sensors used in iot and communication, preprocessing and data cleaning, if required, application development and design issues, mathematical modeling of the engineering problems for ai based solution, different resources like datasets, APIs, software tools and packages evaluated or proposed, results, discussion and performance measures and future research directions. This will help readers to get detailed insights into the application of computational intelligence in the healthcare domain.

In addition to this, the communication and computing systems encompass every stage of professional and personal life, including education, healthcare, re- identification, transportation and social security. Data Science is used to analyze data from wearable trackers to ensure their patients’ well-being, assist in hospital administration by reducing the waiting time and enhance public care. Cloud Security helps in the ease of scaling, increased reliability and availability, disaster recovery, and in managing remote work. These key enablers for the healthcare and biomedical domain and more focus on IoT, big data and cloud will help readers to empower their research and learning in these areas.

Buyers, who belong to the category of researchers, will be benefited from the state-of-art and future research directions provided in the book. Practicing engineers will be benefited from the knowledge of the current challenges in technology, deployment methods and solutions. Post-graduate students will be introduced to new domains, and recent advancements in them. They will also be made aware of the rapid growth in technology and obsolesce.