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AI in Clinical Practice
A Guide to Artificial Intelligence and Digital Medicine
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Main description:

AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine explains how artificial intelligence is applied to medicine, illustrating its enormous potential but also the issues raised, the limits and risks inherent in its use on a large scale. It focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery.

The book discusses topics such as wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, it discusses diagnostics and decision-making systems and machine/deep learning in clinical setting.

It 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.


Contents:

Section 1: ARTIFICIAL INTELLIGENCE: "WHAT ARE WE TALKING ABOUT " 1. Glossary 2. What is meant by AI: knowing it in order to use it in the best way 3. How AI works: machine learning, deep learning, neural networks, black boxes 4. The limits of the algorithms, or the data is (not) "given"

Section 2: THE WORLD OF SENSORS 5. The datanami (tsunami of data): or when the data is perhaps too much 6. Wearable devices and the Internet of Things 7. The sentry watch

Section 3: DIGITAL INTELLIGENCE AND HEALTH 8. Diagnostics and decision-making systems: Applications in radiology, oncology, pathology, dermatology, ophthalmology, cardiology, gastroenterology, neurology, genetics, at the health system level 9. Applications in the psychological-psychiatric field 10. From personalized medicine to precision medicine 11. The search for new drugs and digital therapies 12. Virtual reality: great therapeutic potential and possible risks 13. Chance or Chaos 14. The robotic assistance system 15. Digital medications/Therapy 16. Will "Amplifying technology" really expand our knowledge? 17. Diagnosis by images 18. Machine Learning and Deep Learning 19. At the end of the journey...final reflections


PRODUCT DETAILS

ISBN-13: 9780443140549
Publisher: Elsevier (Academic Press Inc)
Publication date: October, 2023
Pages: None
Weight: 652g
Availability: Available
Subcategories: General Issues

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