Application of Edge AI in Biomedicine

Despite the fact that the first depiction of artificial intelligence (AI) was made in 1950, early models’ shortcomings prevented its widespread adoption and use in medicine. John McCarthy first used the concept AI in 1956 at a conference on the subject. Yet, Alan Turing, who created the Turing test to distinguish between people and machines, highlighted the potential that machines would be able to mimic human behavior and perhaps think earlier. With the advent of deep learning in the in the early hours of twentieth century, numerous of these confines were lifted. A new era in medicine is beginning where risk assessment models and AI can be utilized to improve workflow and diagnostic accuracy in clinical settings. AI systems are now able to evaluate complex algorithms and self-learning. This chapter provides a succinct historical impression of the development of AI over the past few decades as well as its recent introduction and advancement in the field of medicine. Since then, processing power has increased to the point where it can now perform calculations instantly and evaluate fresh data in real-time light of previously evaluated data. AI is now a part of our daily life in many different ways, including personal assistants (like Google Assistant, Alexa, Siri, etc.), auto transportation, aircraft, and virtual games. The application of AI in medicine to improve patient care by speeding up procedures and achieving higher accuracy has only recently begun, paving the path for improved medical services all around. Machine computing (learning) is evaluating pictures by means of radiology aids, patient electronic medical records (EMR), pathology slides, and, assisting in the process of patient diagnosis and treatment, and enhancing clinicians’ abilities. In this chapter, we discussthe status of AI in delivery of drug right now, how it is used in various fields, and upcoming changes.