Artificial Intelligence Based Primary Care

Artificial Intelligence and Human Cognition in General Practice and Family Medicine
Erscheinungsjahr 2026
ISBN: 978-0-443-24124-6
Verlag: Elsevier Science

Buch, Englisch, 440 Seiten, Format (B × H): 191 mm x 235 mm

Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners.

Additionally, the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.

Autoren/Hrsg.

Chang, Anthony C

Painter, Annabelle

Abdulhussein, Hatim

Abbasgholizadeh-Rahimi, Samira

Limon, Alfonso

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

1. Introduction - General practice and family medicine
2. Delivery of medical care in the community (general practice/family medicine)
3. Models of delivery globally- perspectives from UK, US and Canada.
4. 4 pillars: continuity, coordination, comprehensive, first contact.
5. Population health management in primary care - an overview
6. Current use of AI, gaps and opportunities
7. A day in the life of a General Practitioner - reflection/commentary
8. Applications of targeted patients, clinicians and the system
9. Ethical issues
10. Health Equity and access
11. Legal issues
12. Regulation and medical devices
13. Evidence/validation
14. Digital readiness of organizations
15.ducation of workforce
16. Data and databases in primary care
17. Interoperability
17. System change/leadership/culture
19. Workforce transformation
20. Major takeways
21. Compendium

Über Autor(innen)

Abdulhussein, Hatim
Hatim Abdulhussein is a General Practitioner and AI Leader in National Health Service England, Kent Surrey Sussex Academic Health Science Network and Keele University, UK.

Chang, Anthony C
Dr. Chang is the founder and medical director of the Medical Intelligence and Innovation Institute (MI3) that is supported by the Sharon Disney Lund Foundation. The institute is dedicated to the introduction and implementation of artificial intelligence in medicine and was the first institute of its kind in a hospital. Dr. Chang intends to build a clinician-computer scientist interface with a nascent society (the Medical Intelligence Society) and is the editor-in-chief of Intelligence-based Medicine, the accompanying journal for his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. He is the organizing chair for Artificial Intelligence in Medicine (AIMed) meetings around the world, the largest and most comprehensive clinician-led meetings that focus on applications of artificial intelligence in medicine and the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM). He is also the founding president of the Medical Intelligence Society (MIS).

Abbasgholizadeh-Rahimi, Samira
Samira Abbasgholizadeh-Rahimi works at McGill University, Canada.

Painter, Annabelle
Annabelle Painter is a General Practitioner, National Health Service at Imperial College London, London, UK.

Limon, Alfonso
Alfonso Limon, Ph.D., is a principal at Oneirix, a consulting company developing market-leading technologies in computational intelligence for med-tech. Before joining Oneirix, Dr. Limon served as Director of Research at Intersection Medical, leading the development of algorithms for decision support systems to manage congestive heart failure. Before his work in industry, Dr. Limon was a Visiting Professor of Mathematics at Pomona College and a post-doctoral fellow at Harvey Mudd College in the math department and holds several impedance spectroscopy patents. Alfonso is part of the American Board of Artificial Intelligence in Medicine, an Associate Editor of Intelligence-Based Medicine, and the Computational Science Research Center Board Chair at SDSU.