Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Artificial intelligence in the education of health professions: a descriptive analysis through bibliometrics

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • الموضوع:
      2023
    • Collection:
      Repositório Comum (RCAAP - Repositório Científico de Acesso Aberto de Portugal)
    • نبذة مختصرة :
      Introduction and Objectives: Artificial intelligence (AI) refers to a branch of computer science that focuses on creating machines and software programs that can perform tasks that typically require human-like intelligence, such as learning, problem-solving, decision making, and language understanding. AI technologies include machine learning, deep learning, natural language processing, and computer vision, among others. AI has applications in various fields, including healthcare, finance, education, among others, and has the potential to transform how we live, work, and interact with technology. AI has the potential to revolutionize the education of healthcare professionals by providing new tools and resources for teaching and training, such as personalized learning, intelligent tutoring, virtual simulation, and automated grading. The use of AI in healthcare education is growing, and it has the potential to impact research as well. However, the vast amount of scientific literature in this field makes it challenging to understand its scientific structure and development. Visualization techniques based on bibliometric data can be helpful in comprehending scientific fields. Material and Methods: This is a bibliometric, descriptive, and retrospective study. The author identified publications from the Pubmed database from 1990 till 2023 related to the use of Artificial Intelligence in Health Professions Education using this search string (AI OR "Artificial Intelligence"[Mesh]) AND "Education"[Mesh] AND "Health Personnel"[Mesh]. From the titles and abstracts of these publications, was selected the main terms related to the field, extracted by VOSviewer software, to create a visualization of the most important trends referred to in the literature. Results: The researchers identified a total of 576 relevant references, including 36 clinical trials and randomized controlled trials, as well as 57 meta-analyses and systematic reviews. Upon examining the co-occurrence of Mesh terms associated with AI and healthcare ...
    • Relation:
      http://hdl.handle.net/10400.26/45401
    • Rights:
      openAccess
    • الرقم المعرف:
      edsbas.448D6A60