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AI in Clinical Practice - A Guide to Artificial Intelligence and Digital Medicine - ½Å°£POD»óÇ°
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AI in Clinical Practice - A Guide to Artificial Intelligence and Digital Medicine - ½Å°£POD»óÇ°




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Authors: Giampaolo Collecchia, Riccardo De Gobbi

ISBN: 9780443140549

Imprint: Academic Press

Published: November 18, 2023

Pages: 200

Paperback



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.



Key features


  • 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



Readership


Graduate students and researchers in medical informatic, clinicians, healthcare workers. Graduate students and researchers in computer science, policy makers



Table of contents


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



About the authors


Giampaolo Collecchia

Dr. Giampaolo Collecchia is General Practitioner, Internal Medicine Specialist. He is member of the Clinical Ethics Committee of the North West area of the Tuscany Region and member of the Center for Studies and Research in General Medicine (CSeRMEG). He carries out teaching activities at the University of Florence. He is teacher and tutor at the Specific Training Course in General Medicine of the Tuscany Region. Dr. Collecchia is author/co-author of articles and books on general medicine, cardiology and digital medicine.


Riccardo De Gobbi

Dr. Riccardo De Gobbi previously worked as a professor and tutor at the school of specialization in Community Medicine at the University of Padua. From 2010 to 2014 he held the position of coordinator of seminar teaching (CD) in Padua of the Regional School of Specific Training in General Medicine. Currently, he works as private physician at Padua, Italy. He was co-author of some books and dozens of articles on the intersection of clinical practice and technology.








 
 
 
 
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