Description
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
Table of Contents
Section 1: ARTIFICIAL INTELLIGENCE: "WHAT ARE WE TALKING ABOUT "1. Glossary2. What is meant by AI: knowing it in order to use it in the best way3. How AI works: machine learning, deep learning, neural networks, black boxes4. The limits of the algorithms, or the data is (not) "given"Section 2: THE WORLD OF SENSORS5. The datanami (tsunami of data): or when the data is perhaps too much6. Wearable devices and the Internet of Things7. The sentry watchSection 3: DIGITAL INTELLIGENCE AND HEALTH8. Diagnostics and decision-making systems: Applications in radiology, oncology, pathology, dermatology, ophthalmology, cardiology, gastroenterology, neurology, genetics, at the health system level9. Applications in the psychological-psychiatric field10. From personalized medicine to precision medicine11. The search for new drugs and digital therapies12. Virtual reality: great therapeutic potential and possible risks13. Chance or Chaos14. The robotic assistance system15. Digital medications/Therapy16. Will "Amplifying technology" really expand our knowledge?17. Diagnosis by images18. Machine Learning and Deep Learning19. At the end of the journey…final reflections
