This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (83) e-Learning and Digital Medical Education (705) New Methods and Approaches in Medical Education (245) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (109) User Needs and Competencies (311) Focus Groups and Qualitative Research for Human Factors Research (880)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58355, first published .
Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education

Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education

Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education

Authors of this article:

Julia-Astrid Moldt1 Author Orcid Image ;   Teresa Festl-Wietek1 Author Orcid Image ;   Wolfgang Fuhl2, 3 Author Orcid Image ;   Susanne Zabel2, 3 Author Orcid Image ;   Manfred Claassen2, 3, 4 Author Orcid Image ;   Samuel Wagner5 Author Orcid Image ;   Kay Nieselt2, 3 Author Orcid Image ;   Anne Herrmann-Werner1, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Li W, Shi H, Chen X, Lan J, Rehman A, Ge M, Shen L, Hu F, Jia Y, Li X, Chen H. Application of artificial intelligence in medical education: A meta-ethnographic synthesis. Medical Teacher 2024:1 View
  2. Bignami E, Russo M, Lanza R, Bellini V. Navigating the integration of large language models in healthcare: challenges, opportunities, and implications under the EU AI Act. Journal of Anesthesia, Analgesia and Critical Care 2024;4(1) View