How I Streamline Academic Writing with AI and Digital Tools

On Demand

Course Description

The primary goal of this presentation is to demonstrate how veterinary researchers can significantly benefit from incorporating digital and AI tools into their academic workflows. Specific objectives include:

To highlight the utility of novel tools for organizing references, assessing citation impacts, and writing literature reviews.
To explore the application of generative AI in improving the drafting, editing, and promotion of academic content.
To present productivity and note-taking tools that streamline the research process.

Learning objectives:

Upon completion, participant will be able to master the use of databases and RSS for efficient literature searches.
Upon completion, participant will be able to adopt Zotero for streamlined reference management and organization.
Upon completion, participant will be able to leverage AI and productivity tools for enhancing the quality and efficiency of academic writing.This course is offered as a complimentary member benefit, providing ACVIM Candidates and Diplomates with valuable tools to enhance their academic writing skills at no additional cost.

This course is offered as a complimentary member benefit, providing ACVIM Candidates and Diplomates with valuable tools to enhance their academic writing skills at no additional cost.

Registration

Registration is now open for ACVIM Diplomates and Candidates.

Course Information

Date: November 2024
Audience: ACVIM Candidates and Diplomates
Specialty: Multispecialty
Type: On Demand

Speaker

Candice Chu

DVM, PhD, DACVP

Candice Chu, DVM, PhD, DACVP
Assistant Professor, Texas A&M University

Dr. Candice Chu is an Assistant Professor in the Department of Veterinary Pathobiology and a board-certified clinical pathologist. Her academic journey began with a DVM degree from National Taiwan University and a PhD in veterinary pathology and residency training at Texas A&M University. Prior to her current role, she served as an assistant professor of clinical pathology at the University of Pennsylvania. Her research integrates renal biomarkers, digital cytology, and artificial intelligence (AI) in veterinary medicine. She is an active member of the American College of Veterinary Pathologists Pathology Informatics Committee and a sought-after speaker on AI applications at several major veterinary conferences, including ACVIM, AVMA, ACVR, ACVP, and VMX.