Kickstart Your Scholarly Work with AI by Your Side: From Hypothesis to Publication

Sunday, April 27, 2025

7:00am – 8:30am HST

Location: Convention Center: 305

CE: CME: 1.5
Ethics CME: 1.5

Leader(s)

Cris Ebby, MD, MS

Fellow Physician
University of Wisconsin-Madison
Madison, Wisconsin, United States

Co-Leader(s)

Madhuri Prasad, MD (she/her/hers)

Pediatric Hospital Medicine Fellow
Emory University, Georgia, United States
Gabriel Tse, MD, MS

Clinical Assistant Professor
Stanford University School of Medicine
Palo Alto, California, United States
YB

Yair Bannett, MD, MS

Assistant Professor
Stanford University
Palo Alto, California, United States
BB

Bayley Bennett, MD

Pediatric Hospital Medicine Fellow
Emory University, Georgia, United States
Michelle Kelly, MD, PhD (she/her/hers)

Professor of Pediatrics
Pediatrics
University of Wisconsin School of Medicine and Public Health
Madison, Wisconsin, United States

Disclosure(s):

Cris G. Ebby, MD, MS: Abbott Laboratories (Ongoing) (Products/Services: Ownership Interest including individual stocks, stock options, excluding diversified mutual funds); Sangamo Therapeutics (Ongoing) (Products/Services: Ownership Interest including individual stocks, stock options, excluding diversified mutual funds); West Pharmaceutical Services (Ongoing) (Products/Services: Ownership Interest including individual stocks, stock options, excluding diversified mutual funds)

Madhuri Prasad, MD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Gabriel Tse, MD, MS: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Yair Bannett, MD, MS: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Bayley Bennett, MD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Michelle M. Kelly, MD, PhD: Invenra, Inc (Ongoing) (Products/Services: Ownership Interest including individual stocks, stock options, excluding diversified mutual funds)

Workshop Description: Navigating the journey from developing a research question to publishing results can be challenging. Large language models (LLMs) are a powerful yet often underutilized resource that can save time, reduce workload, and enhance the quality of scholarly work. At the same time, using LLMs for scholarship has inherent risks and limitations that are crucial to understand prior to use. This workshop will equip participants with the best practices and hands-on experience needed to leverage LLMs at every stage of a scholarly project: from formulating a hypothesis to final publication.

Through live demonstrations, group discussions, and hands-on exercises, participants will learn how to apply LLMs to support literature review, study design, and grant and manuscript writing. Participants can choose their own research topics or work from provided examples to explore practical applications, guided by facilitators in small group breakouts. By the end of this workshop, participants will leave with an LLM research toolkit containing actionable strategies to incorporate LLMs into the research process, boosting efficiency, creativity, and impact of the scholarly work.

Learning Objectives:

Describe how LLMs can be used in research while acknowledging their pitfalls, including privacy and bias concerns
Differentiate between various LLMs’ strengths and limitations in tasks such as conducting literature reviews and refining grant applications and publications
Demonstrate how custom versions of LLMs can be optimized for specific tasks such as institutional review board application