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Using Natural Language Processing Models for Writing Preoperative Visit Sheets: a Preliminary Study Comparing ChatGPT and Clinicians
The goal of this study is to evaluate the performance of large language models i.e. ChatGPT, in making preoperative visit sheets using clinical records. The main questions it aims to answer are: * Can large language models read clinical records and make preoperative visit sheets same as physicians? * Can physicians distinguish preoperative visit sheets made by physicians and models? Participants' records will be generated using ChatGPT-4, and read by both ChatGPT-4 and physicians to make 2 separate preoperative visit sheets, and form 2 groups, GPT group and physician group respectively. A group of professionals will compare result of above mentioned 2 groups to see if ChatGPT can afford to write preoperative visit sheets.
Age
All ages
Sex
ALL
Healthy Volunteers
No
Start Date
August 1, 2023
Primary Completion Date
August 15, 2023
Completion Date
September 1, 2023
Last Updated
July 14, 2023
120
ESTIMATED participants
ChatGPT-4
OTHER
Clinician
OTHER
Lead Sponsor
Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Collaborators
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT07427381