Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Purpose: Chat Generative Pre-trained Transformer (ChatGPT) is now utilized in various fields of healthcare in order to obtain answers to questions related to healthcare-related problems and to evaluate available information. Primary hyperparathyroidism is a common endocrine disorder. We aimed to evaluate the accuracy and quality of ChatGPT's responses to questions specific to hyperparathyroidism cases discussed at multidisciplinary endocrinology meetings.
Methods: ChatGPT-4 was asked to respond to 10 hyperparathyroidism cases evaluated at multidisciplinary endocrinology meetings. The accuracy, completeness, and quality of the responses were scored independently by two endocrinologists. Accuracy and completeness were evaluated on the Likert scale, and quality was evaluated on the global quality scale (GQS).
Results: No misleading information was detected in the responses. In terms of diagnosis, the mean accuracy scores (ranging from 1 to 5) were 4.9 ± 0.1 and the mean completeness scores (ranging from 1 to 3) were 3.0. In the responses given in terms of further examination, the mean accuracy and completeness scores were 4.8 ± 0.13 and 2.6 ± 0.16, respectively. The mean accuracy and completeness scores for treatment recommendations were 4.9 ± 0.1 and 2.4 ± 0.16, respectively. The GQS evaluation result was 80% high quality and 20% medium quality.
Conclusion: In this study, the accuracy and quality rates of ChatGPT-4 were generally high in responding to questions as to hyperparathyroidism patients. It can be concluded that artificial intelligence may serve as a valuable tool in healthcare. However, the limitations and risks of ChatGPT should also be evaluated.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363241 | PMC |
http://dx.doi.org/10.1177/20552076241278692 | DOI Listing |
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