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Digital Health, AI and Generative AI in Healthcare

117,69 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18457cd0df72c646009523bee329c2735d
Themengebiete: AI literacy Artificial intelligence Clinical decision support Digital health Generative Health informatics LLM Large language model Virtual reality medical school curriculum
Veröffentlichungsdatum: 25.04.2025
EAN: 9783031835261
Sprache: Englisch
Seitenzahl: 220
Produktart: Unbekannt
Herausgeber: Adirim, Terry
Verlag: Springer International Publishing
Untertitel: A Concise, Practical Guide for Clinicians
Produktinformationen "Digital Health, AI and Generative AI in 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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