AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting. This is a valuable resource for clinicians, researchers, students and members of the biomedical and medical fields who want to learn more about the use of AI to improve patient care. Covers emerging topics related to the intersection of AI and clinical practice Discusses the most relevant concepts and developments on AI in a didactic way for clinical applicability Presents content tailored to a non-specialized readership, focusing on the main points that clinicians and health workers must know to be updated on the most recent developments of AI