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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2022
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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. |
author_sort | Kolachalama, Vijaya B. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10375468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kolachalamavijayab machinelearningandpremedicaleducation |