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Geisel Academy Teaching Bootcamp: AI as a Research Collaborator: Generating Ideas, Literature Reviews, Analysis, and Polishing Your Writing

  • Overview
  • Register
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  • Content/Tests


Date & Location
Tuesday, August 5, 2025, 5:00 PM - Saturday, August 5, 2028, 6:00 PM

Credits
AMA PRA Category 1 Credits™ (1.50 hours), CME-Designated Participation Credit (1.50 hours)

Overview

This interactive session equips healthcare and biomedical researchers with practical strategies for using generative AI as a research collaborator across the research lifecycle—from idea generation and literature synthesis to data analysis and manuscript refinement. Emphasis is placed on responsible use, prompt engineering, tool selection, and maintaining academic integrity while enhancing productivity and creativity.

Presenter

Thomas Thesen, Ph.D.
Associate Professor
Department of Medical Education
Geisel School of Medicine at Dartmouth
Department of Computer Science
Dartmouth College

Download the slides HERE.


Learning Objectives
At the conclusion of this learning activity, participants will be able to:

  1. Describe how generative AI can support various stages of the research process, including idea generation, literature review, data analysis, and manuscript writing.
  2. Apply prompt engineering strategies, including tool-specific best practices, to effectively collaborate with AI for research-related tasks.
  3. Evaluate the ethical, methodological, and accuracy-related considerations when incorporating AI into scholarly research workflows.

Accreditation

In support of improving patient care, Dartmouth Health is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

American Medical Association (AMA)
Dartmouth Health designates this Enduring Material for a maximum of 1.50 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

All other learners may claim CME-designated participation credit. Consult your professional licensing board regarding the applicability and acceptance of CME-designated participation credit for programs certified for credit by organizations accredited by Joint Accreditation for Interprofessional Education.

Registration/Requirements for Successful Completion
You may claim credit for successful completion of this online course. In order to claim credit, you must follow these steps:

  1. Click the Register tab above. If you are not logged into your account, you will need to log in. Use the Forgot Your Password? button if you need to reset your password.

  2. Register for the activity.

  3. Click the Content/Tests tab and then View Content to view the recording. View the entire presentation.

  4. Complete the Post-Test (attestation - return to the Content/Tests tab to find it).

  5. Click the Complete Evaluation button, or click My Account in the menu bar; then click Evaluations.

  6. Complete and Submit the Evaluation.

Bibliographic Sources

  •  https://multiagentllmplatform.streamlit.app/

  • Meyer JG, Urbanowicz RJ, Martin PCN, O'Connor K, Li R, Peng PC, Bright TJ, Tatonetti N, Won KJ, Gonzalez-Hernandez G, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 2023 Jul 13;16(1):20. https://doi.org/10.1186/s13040-023-00339-9. PMID: 37443040; PMCID: PMC10339472.

  • Roustan D, Bastardot F. The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations. Interact J Med Res. 2025 Jan 28;14:e59823. https://doi.org/10.2196/59823. PMID: 39874574; PMCID: PMC11815294.

Provider Contact Information
Provider contact information for questions regarding accreditation of the activity:

Center for Learning and Professional Development
ACE Office
Dartmouth Health
[email protected]



Mitigation of Relevant Financial Relationships


Dartmouth Health adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education.  Any individuals in a position to control the content of a CE activity, including planners, faculty, authors, or others are required to disclose all financial relationships with ineligible companies^.  All relevant financial relationships have been mitigated prior to the commencement of the activity.

^Ineligible Company is any entity whose primary business purpose is producing, marketing, selling, re-selling or distributing healthcare products used by or on patients.



Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Amanda E Sanchez
Sr. Program Coordinator
Dartmouth Hitchcock Medical Center
Activity Coordinator
Non-Clinical Exception
Thomas Thesen, PhD
Dartmouth
Course Director, Faculty
Non-Clinical Exception
Maxwell T Vergo, MD
Physician
Dartmouth Hitchcock Medical Center
Other Planning Committee Member
Non-Clinical Exception

Geisel Academy Teaching Bootcamp: AI as a Research Collaborator: Generating Ideas, Literature Reviews, Analysis, and Polishing Your Writing
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