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Elsevier

AI in Clinical Practice

A Guide to Artificial Intelligence and Digital Medicine

  • 1st Edition - November 18, 2023
  • Latest edition
  • Authors: Giampaolo Collecchia, Riccardo De Gobbi
  • Language: English

**Selected for 2026 Doody's Core Titles as an Essential Purchase in Medical Informatics**AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine expl… Read more

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Description

**Selected for 2026 Doody's Core Titles as an Essential Purchase in Medical Informatics**

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

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 Chaos14. The robotic assistance system

15. Digital medications/Therapy

16. Will "Amplifying technology" really expand our knowledge?

17. Diagnosis by images18. Machine Learning and Deep Learning

19. At the end of the journey…final reflections

Review quotes

4 Stars! "...aims to explain artificial intelligence in clinical medicine, highlighting its potential, limitations, and risks....This book raises awareness of these issues, making it a valuable resource for healthcare professionals and policymakers, [and] it effectively meets its objectives by examining AI’s applications, benefits, and ethical concerns in medicine....A standout feature of the book is its discussion on wearable medical sensors, which generate vast amounts of patient data....Overall, the book is an insightful and well-structured resource, effectively addressing AI’s transformative role in medicine while maintaining a balanced view of its potential challenges....Its concise nature is a strength, allowing busy clinicians to grasp key AI concepts without feeling overwhelmed....I would recommend this book to clinical doctors, especially those struggling to understand AI’s role in medicine. It serves as a practical introduction to AI in healthcare, making it valuable for medical professionals looking to stay informed about digital advancements."Review by Carson Gray, OMS-II (Rocky Vista University College of Osteopathic Medicine), ©Doody's Review Service 2025. Doody's Score: 96, 4 Stars!

Product details

  • Edition: 1
  • Latest edition
  • Published: November 22, 2023
  • Language: English

About the authors

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, Italy

RG

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, Italy

View book on ScienceDirect

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