CASE REPORT
Report of two cases of acute appendicitis prior to exams in medical students using OpenAI’s ChatGPT
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1
Faculties of Health Science, Universidad Privada del Norte, Lima, PERU
2
Qualitative Unit, Nesh Hubbs, Lima, Peru, PERU
3
Faculties of Health Science, Universidad Tecnológica del Perú, Lima, PERU
Publication date: 2024-05-06
Electron J Gen Med 2024;21(3):em585
KEYWORDS
ABSTRACT
Introduction:
Acute appendicitis (AA) is a significant cause of emergency admissions among university students
aged over 20 years. Students experience high demands during their undergraduate studies, often leading them to
postpone mealtimes or rest breaks. Here, with the assistance of ChatGPT, we present two cases of medical
students with AA who delayed their surgical treatment due to exams.
Clinical cases:
Two young patients (a 23-year-old female and a 20-year-old male) presented with severe
abdominal pain, anorexia, and general discomfort. They had high C-reactive protein levels and white blood cell
counts, as well as an ultrasound showing an enlarged appendix. Despite the confirmed diagnosis of appendicitis
through abdominal ultrasound, both patients decided to postpone hospitalization and surgery due to university
exams. They subsequently underwent uncomplicated emergency laparoscopic appendectomy. The clinical report
of both cases was successfully addressed with ChatGPT, using the initial data from the medical record, and
coherent discussions regarding patient management and follow-up were generated.
Conclusions:
The surgical intervention applied in both cases of AA was successful, and although both patients
recovered without issues, delaying surgery can increase the risk of complications. It is necessary to educate the
university population about the importance of immediate medical attention for the treatment of AA. ChatGPT
appears to be a useful tool for organizing clinical information and improving discussions on therapeutic
management.
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