MESI Workshop (Online): Librarians and AI - Resources for Medical Education Scholarship

Self-paced
0.5 credits

In this virtual presentation, Sheila Green, MSLS, AHIP, and Margaret Foster, MS, MPH, AHIP, discuss various AI-based methods and tools for conducting efficient and effective literature searches, guidelines and policies on using AI for medical education scholarship and peer review, ethical and legal implications of AI in scholarly communication, experimenting and creating with AI tools, and the potential benefits and limitations of AI in medical education scholarship.

Objectives

At the conclusion of this online activity, learners will be able to:

1) Identify, apply, and critique various AI-based methods and tools for conducting efficient and effective literature searches.

2) Evaluate publisher guidelines and policies on using AI for medical education scholarship and peer review and recognize the ethical and legal implications of AI in scholarly communication.

3) Experiment and create with AI tools and reflect on their potential benefits and limitations for medical education scholarship.

ACCREDITATION

Texas A&M University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

DESIGNATION

Texas A&M University School of Medicine designates this enduring material for a maximum of 0.5 AMA PRA Category 1 Credit(s)^TM. Physicians should claim only credit commensurate with the extent of their participation in the activity.

PRESENTER DISCLOSURE

All speakers/presenters for this educational event have no relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

PLANNERS DISCLOSURES

None of the planners for this educational activity have relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

Technical Requirements

For best performance, Canvas should be used on the current or first previous major release of Chrome, Firefox, Edge, or Safari. Because it's built using web standards, Canvas runs on Windows, Mac, Linux, iOS, Android, or any other device with a modern web browser.

Mobile Devices

The Canvas interface was optimized for desktop displays, so using small form factors such as phones may not be a pleasant experience in using Canvas. For the best user experience, please download the Canvas mobile applications.