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Machine learning and pre-medical education

Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they m...

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Detalles Bibliográficos
Autor principal: Kolachalama, Vijaya B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375468/
https://www.ncbi.nlm.nih.gov/pubmed/35659392
http://dx.doi.org/10.1016/j.artmed.2022.102313
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author Kolachalama, Vijaya B.
author_facet Kolachalama, Vijaya B.
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description Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they may not have sufficient time during their professional tenure to learn about the underlying machine learning frameworks that are driving these systems. Educating the aspiring clinicians and care providers with the right foundational courses in machine learning as part of postsecondary education will likely transform them as high-tech physicians and care providers of the future.
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spelling pubmed-103754682023-07-28 Machine learning and pre-medical education Kolachalama, Vijaya B. Artif Intell Med Article Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they may not have sufficient time during their professional tenure to learn about the underlying machine learning frameworks that are driving these systems. Educating the aspiring clinicians and care providers with the right foundational courses in machine learning as part of postsecondary education will likely transform them as high-tech physicians and care providers of the future. 2022-07 2022-05-04 /pmc/articles/PMC10375468/ /pubmed/35659392 http://dx.doi.org/10.1016/j.artmed.2022.102313 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Kolachalama, Vijaya B.
Machine learning and pre-medical education
title Machine learning and pre-medical education
title_full Machine learning and pre-medical education
title_fullStr Machine learning and pre-medical education
title_full_unstemmed Machine learning and pre-medical education
title_short Machine learning and pre-medical education
title_sort machine learning and pre-medical education
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375468/
https://www.ncbi.nlm.nih.gov/pubmed/35659392
http://dx.doi.org/10.1016/j.artmed.2022.102313
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