This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. Decision-making in the medical profession is imprecise and fuzzy logic handles the partial truth concept well. Fuzzy logic is advantageous in situations in which the truth-value ranges between completely false and completely true. The combination of the established fuzzy logic concepts with the IoMT systems is a game-changer. The fuzzy logic theory is an important tool that deals with imprecise linguistic concepts, addresses the loss of precision in the decision-making power of a physician, and ultimately will improve medical science in the ensuing digital era. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc.