Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2025
Genre:	Naturwissensch., Medizin, Technik
	AI Literacy / allgemeine Chirurgie / Artificial Intelligence / Clinical decision support / Digital Health / Emergency Medicine / general surgery / Generative / Gesundheitssystem und Gesundheitswesen / Health Informatics / Health Policy / INTERNAL MEDICINE / Klinische und Innere Medizin / Large Language Model / llm / Medical and Health Technologies / medical school curriculum / Medizinverwaltung und -management / Notfallmedizin / Practice and Hospital Management / Virtual Reality mehr...
ISBN:	9783031835254
EAN-Code:	9783031835254
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	220
Illustration:	IX, 220 p. 12 illus. in color., farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.