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Digital Health, AI and Generative AI in Healthcare
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Digital Health, AI and Generative AI in Healthcare : A Concise, Practical Guide for Clinicians

Book Details

Format Hardback or Cased Book
ISBN-10 3031835255
ISBN-13 9783031835254
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 26th, 2025
Print length 220 Pages
Ksh 19,800.00
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The purpose of this title is to provide a comprehensive foundation for all medical professionals and healthcare-professions students in understanding Artificial Intelligence (AI).  With the advent of generative AI, including the release of Open AI’s ChatGPT in 2022, the world entered a new age of rapid advancements in technology that will significantly change the way clinicians practice medicine, operate healthcare institutions, and conduct research.  At the heart of this penetrating book is the idea that medical schools, medical training programs and other health education institutions must undertake a key role in developing AI literacy for clinicians across the spectrum of medical education that includes all health professions.  Moreover, assert the authors, AI literacy should be incorporated within medical school curriculums as a core competency, as well as into graduate medical education training programs and continuing medical education courses.  This timely and easy-to-read guide offers a wide range of chapters that discuss the core concepts and issues relating to AI in medicine, including a basic understanding of algorithms, machine learning, large language models and natural language processing, the limits and pitfalls of AI, ethical and legal issues, the evolving regulatory landscape around AI, as well as how AI is currently being used in healthcare, to name just several compelling topics.  Additionally, AI technologies will change how medical school curriculums are delivered and how student competencies are assessed, maintain the authors.  Therefore, medical educators will not only need to rethink how and what medical information is conveyed to students during formal instruction, but also must be prepared for AI-powered programs being used to assess students and trainees for the purpose of licensure and board certification.  A timely and soon-to-be gold standard resource in the field, Digital Health, AI, and Generative AI:  A Concise, Practical Guide for Clinicians will be of great interest to medical professionals, trainees, administrators, policymakers, and anyone interested in the fast-evolving intersection of digital technologies and healthcare.  

The purpose of this title is to provide a comprehensive foundation for all medical professionals and healthcare-professions students in understanding Artificial Intelligence (AI).  With the advent of generative AI, including the release of Open AI’s ChatGPT in 2022, the world entered a new age of rapid advancements in technology that will significantly change the way clinicians practice medicine, operate healthcare institutions, and conduct research.  At the heart of this penetrating book is the idea that medical schools, medical training programs and other health education institutions must undertake a key role in developing AI literacy for clinicians across the spectrum of medical education that includes all health professions.  Moreover, assert the authors, AI literacy should be incorporated within medical school curriculums as a core competency, as well as into graduate medical education training programs and continuing medical education courses.

 

This timely and easy-to-read guide offers a wide range of chapters that discuss the core concepts and issues relating to AI in medicine, including a basic understanding of algorithms, machine learning, large language models and natural language processing, the limits and pitfalls of AI, ethical and legal issues, the evolving regulatory landscape around AI, as well as how AI is currently being used in healthcare, to name just several compelling topics.  Additionally, AI technologies will change how medical school curriculums are delivered and how student competencies are assessed, maintain the authors.  Therefore, medical educators will not only need to rethink how and what medical information is conveyed to students during formal instruction, but also must be prepared for AI-powered programs being used to assess students and trainees for the purpose of licensure and board certification.  A timely and soon-to-be gold standard resource in the field, Digital Health, AI, and Generative AI:  A Concise, Practical Guide for Clinicians will be of great interest to medical professionals, trainees, administrators, policymakers, and anyone interested in the fast-evolving intersection of digital technologies and healthcare. 

 


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