AI in Clinical Practice

A Guide to Artificial Intelligence and Digital Medicine

1st Edition - November 18, 2023
Authors: Giampaolo Collecchia, Riccardo De Gobbi
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 4 0 5 4 - 9
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 4 0 5 5 - 6

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… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Dedication
Foreword
Presentation
Acknowledgment
Introduction
Section 1: Artificial intelligence: “What are we talking about”
Chapter 1. What does artificial intelligence mean?
Abstract
References
Chapter 2. How does Artificial Intelligence work?
Abstract
Summary
The fundamentals
References
Chapter 3. The limits of algorithms
Abstract
It is not the technologies that are decisive but the ability to extract value from their use
Possible criticalities related to the use of artificial intelligence systems in medicine
The limits of predictive models
Do algorithms photograph reality?
The doctor-patient relationship, or “clinicians without a pattern”
Epidemiology in wonderland
In conclusion…
References
Chapter 4. The cognitive biases of the digital world that are transforming our minds
Abstract
The enlarged mind
From sequential man to simultaneous man
The illusion of digital omnipotence
The overconfidence
Meta-ignorance
The law of least effort
Conclusion
References
Chapter 5. Chance/case or chaos: why is it important for us to know and distinguish them
Abstract
Chaos and case/chance: concluding reflections
References
Section 2: The world of sensors
Chapter 6. A tsunami of data: when the data is perhaps too much
Abstract
References
Chapter 7. Wearable devices and the Internet of Things
Abstract
Summary
Wearable devices
Fields of application
The most classic areas
The Internet of Things
Reflections
References
Chapter 8. The sentry watch
Abstract
Summary
Reflections
References
Section 3: Digital intelligence and health
Chapter 9. Diagnostics and decision-making systems
Abstract
Summary
Applications in the radiological field
The diagnosis of respiratory diseases: some commented paradigmatic studies
Breast cancer diagnostics
Applications in oncology: Watson for oncology
Applications in the anatomopathological field
The limits of AI in cytological and histopathological diagnostics
Applications in the dermatological field
Applications in ophthalmology
Applications in the cardiology field
Applications in the gastroenterological field
Applications in the neurological field
Applications at the level of health systems
Applications in the genetic field
References
Chapter 10. Applications of AI in the psychological and psychiatric fields: what the experts offer us
Abstract
Summary
The “digital” in the psychological-psychiatric field: history helps us to understand and recognize potentials and dangers
Reflections
Psychological and psychiatric diagnostics through the study of facial expressions
References
Chapter 11. From personalized medicine to precision medicine
Abstract
Summary
Limitations of precision medicine
The need for new methodologies
Final considerations
References
Chapter 12. The search for new drugs
Abstract
Summary
References
Chapter 13. Digital therapeutics
Abstract
Summary
Mode of action
Therapeutic indications
Regulation
Conclusions
References
Chapter 14. Virtual reality: the great therapeutic potential and the possible risks
Abstract
Summary
What happens when you enter the virtual-digital neo-reality
The original characteristics of the mental processes in people involved in virtual reality experiences
Potential adverse effects
Didactic applications: the training of doctors
The barriers to practical use
Augmented reality
The enhancement of our cognitive faculties and the management of our emotions
The therapeutic applications of virtual-digital reality
Neurological diseases
Applications in psychiatry
Post traumatic stress disorder
Gambling and Internet addiction
The psychoses
Reflections
References
Chapter 15. The robotic assistance system
Abstract
Summary
The actual impact on assisted people and their families
Homo roboticus and sapiens sapiens
Reflections
References
Chapter 16. Will “amplifying technology” really expand our knowledge? what is amplifying technology?
Abstract
Does perceiving more always mean knowing and understanding more?
References
Chapter 17. Diagnosis by images. The recognition of images in humans and in artificial intelligence systems
Abstract
Humans
Visual recognition systems
Images in digital diagnosis
References
Chapter 18. Machine learning, deep learning, and clinical studies
Abstract
Study validity
Results
Notes
References
Chapter 19. At the end of the journey… Conclusive reflections
Abstract
References
Chapter 20. ChatGPT is beginning to change medicine
Abstract
ChatGPT: How does it work?
References
Glossary
Index

Life sciences

Physical sciences & Engineering

Social sciences & Humanities

Health