Contributor
Josephine Tolan, Eric Larson, Humberto Palladino
Subject Area
Computer Science
Abstract
This paper presents the development and evaluation of an AI-driven system that leverages ChatGPT to predict cosmetic surgeries based on patient profiles and images. The system is designed to assist plastic surgeons by providing personalized surgical plans, including primary procedures, supplementary surgeries, and follow-up care recommendations. The study focuses on using large language models (LLMs) to automate virtual consultations, enabling patients to receive expert advice without in-person visits. This paper focuses on the development, metrics, and utility of this system and how it can be used to supplement surgical practices. We discuss the iterations of prompt engineering, fine-tuning, and implementation of the system.
Degree Date
Fall 12-2024
Document Type
Thesis
Degree Name
M.S.
Department
Computer Science and Engineering
Advisor
Eric Larson
Number of Pages
91
Format
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Tolan, Maxwell, "Using Chat-GPT to Automate Cosmetic Procedure Planning" (2024). Computer Science and Engineering Theses and Dissertations. 44.
https://scholar.smu.edu/engineering_compsci_etds/44
