AI in Clinical Practice
A Guide to Artificial Intelligence and Digital Medicine
- 1st Edition - November 18, 2023
- Imprint: Academic Press
- 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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Request a sales quoteAI 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
Graduate students and researchers in medical informatic, clinicians, healthcare workers. Graduate students and researchers in computer science, policy makers
- 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
- Edition: 1
- Published: November 18, 2023
- No. of pages (Paperback): 184
- No. of pages (eBook): 200
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443140549
- eBook ISBN: 9780443140556
GC
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.
Affiliations and expertise
Primary Care Physician, Specialist in Internal Medicine, Massa, ItalyRG
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.
Affiliations and expertise
Primary Care Physician, Specialist in Anesthesia and Intensive Care, Allergology, Hygiene and Preventive Medicine, Padua, ItalyRead AI in Clinical Practice on ScienceDirect