Foundations of AI for future physicians: A practical, accessible curriculum

The next step is to integrate the Colab notebook-based curriculum into the authors' medical school data science thread. To support broader adoption, adaptable teaching guides will be developed, enabling implementation at other medical schools, including those in low-resource settings, while leveraging Colab's accessibility for regional customization.

Authors

Publication Details

Journal
Medical Teacher
Published
2025-02-12
DOI
https://doi.org/10.1080/0142159x.2025.2463492
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.62
Controls
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article

Foundations of AI for future physicians: A practical, accessible curriculum

Jonathan Theros, David Liebovitz, Alan Soetikno
4 citations
Medical Teacher
Artificial Intelligence in Healthcare and Education
2.62
article

Foundations of AI for future physicians: A practical, accessible curriculum

Jonathan Theros, David Liebovitz, Alan Soetikno
article en
4 citations

Abstract

The next step is to integrate the Colab notebook-based curriculum into the authors' medical school data science thread. To support broader adoption, adaptable teaching guides will be developed, enabling implementation at other medical schools, including those in low-resource settings, while leveraging Colab's accessibility for regional customization.

Medical TeacherVol. 47(10)
Quality Education
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
2.62
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Foundations of AI for future physicians: A practical, accessible curriculum — Jonathan Theros, David Liebovitz, et al. · Medical Teacher (2025) | TGRS Research Map | TGRS