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AuthorSharma, Aarti
AuthorAl-Haidose, Amal
AuthorAl-Asmakh, Maha
AuthorAbdallah, Atiyeh M.
Available date2024-08-28T04:23:45Z
Publication Date2024
Publication NameClinics and Practice
ISSN2039-7283
URIhttp://dx.doi.org/10.3390/clinpract14040112
URIhttp://hdl.handle.net/10576/58253
AbstractThe integration of artificial intelligence (AI) into healthcare practice has improved patient management and care. Many clinical laboratory specialties have already integrated AI in diagnostic specialties such as radiology and pathology, where it can assist in image analysis, diagnosis, and clinical reporting. As AI technologies continue to advance, it is crucial for biomedical science students to receive comprehensive education and training in AI concepts and applications and to understand the ethical consequences for such development. This review focus on the importance of integrating AI into biomedical science curricula and proposes strategies to enhance curricula for different specialties to prepare future healthcare workers. Improving the curriculum can be achieved by introducing specific subjects related to AI such as informatics, data sciences, and digital health. However, there are many challenges to enhancing the curriculum with AI. In this narrative review, we discuss these challenges and suggest mitigation strategies.
Languageen
PublisherMDPI
Subjecthealthcare
higher education
biomedical sciences
curricula development
TitleIntegrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare Education
TypeArticle Review
Issue Number4
Volume Number14
dc.accessType Open Access


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