Evaluating performance of custom GPT in anesthesia practice - 11/01/24
Doi : 10.1016/j.jclinane.2023.111371
Andrew D. Fisher, MD ⁎ 
, Gabrielle Fisher, MD
, Gabrielle Fisher, MD Medical University of South Carolina, Department of Anesthesia and Perioperative Medicine, 167 Ashley Avenue, Suite 301, Charleston, SC 29464, United States of America
⁎Corresponding author at: Medical University of South Carolina, Department of Anesthesia and Perioperative Medicine, 167 Ashley Avenue, Suite 301, MSC 912, Charleston, SC 29464, United States of America.Medical University of South CarolinaDepartment of Anesthesia and Perioperative Medicine167 Ashley Avenue, Suite 301, MSC 912CharlestonSC29464United States of America
Highlights |
• | Custom GPT exceled in text-based medical data interpretation. |
• | Challenges noted in Custom GPT's handling of tables and flowcharts. |
• | Engineering custom GPT can be considered in other realms of non-patient facing anesthesia care. |
Plan
© 2023
Publié par Elsevier Masson SAS.
Vol 93
Article 111371- mai 2024 Retour au numéro
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