What are Course Readings and How Do I Use Them?

Throughout the course pages, content authors have embedded links to external journal articles or webpages they wish for you to read. Additionally, these readings can be accessed via the "Course Readings" link in the left-hand course navigation. By clicking "Course Readings," you will see a list of items categorized by course module names. Each is activated and deactivated via an accordion menu to hide or show numerous readings. These readings are tagged as essential, recommended, or none (as informational and a deeper dive for your interest or further engagement in each module topic).

Essential - the module content author feels you must read the item for you to fully understand and gain insight into the information or topic they have presented

Recommended - the module content author feels your basic knowledge of the information or topic they have presented would be enhanced by reading this item.

None - the module content author feels that this reading would advance your overall knowledge of the information or topic they have presented, should you have an interest in taking a "deeper dive" into the subject.

Course Readings user interface example:

Screenshot of the Course Readings user interface.

Example of the Course Readings "Insert Citations" feature using the Canvas toolbar feature to insert apps.

1.

Katznelson G, Gerke S. The need for health AI ethics in medical school education. , ed. Advances in health sciences education. 2021;26(4):1447-1458. doi:10.1007/s10459-021-10040-3

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Artificial intelligence in medical education

ARTICLE Artificial intelligence in medical education

Masters, Ken, Medical teacher., Electronic version., 41( 9 ), 2019-09-02, 976 - 980

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Artificial Intelligence in Medical Education A Long Way to Go

ARTICLE Artificial Intelligence in Medical Education A Long Way to Go

David Furfaro, MD Leo Anthony Celi, MD, MPH Richard M. Schwartzstein, MD Boston, MA, Chest., 165( 4 ), 2024-04, 771 - 774

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Artificial Intelligence in Medical Education: The 2025 IACAI Vision and Integration Framework

WEBSITE Artificial Intelligence in Medical Education: The 2025 IACAI Vision and Integration Framework

International Advisory Committee for Artificial Intelligence

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