Evidence map›Paper›PMID 40364889›Full record

ArticleCureus2025

ChatGPT Answers the 110-Question Laboratory Enzymology Student Exam: Pass or Fail?

Berina Hasanefendic, Aleksandra Pasic, Selvedina Duskan, Emir Sehercehajic, Altaira Jazic Durmisevic

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Berina HasanefendicClinical Biochemistry and Laboratory Medicine, Clinical Center University of Sarajevo, Sarajevo, BIH.
Aleksandra PasicClinical Biochemistry and Laboratory Medicine, Clinical Center University of Sarajevo, Sarajevo, BIH.
Selvedina DuskanClinical Biochemistry and Laboratory Medicine, Clinical Center University of Sarajevo, Sarajevo, BIH.
Emir SehercehajicDepartment for Pathohistology and Cytology, ASA Hospital, Sarajevo, BIH.
Altaira Jazic DurmisevicEmergency Medicine Clinic, Clinical Center University of Sarajevo, Sarajevo, BIH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Chatbots like ChatGPT have attracted a lot of interest lately due to their ability to generate human-like responses. Their reliability and accuracy are still questionable, and they are the topic of many studies in different fields. Therefore, the aim of this study was to examine the knowledge of two versions of chatbots regarding laboratory enzymology and to compare it with the average knowledge of students for the purpose of considering the use of ChatGPT in providing answers in this field. Material and methods An exam with 110 questions covering four topics was answered by students and ChatGPT-3.5 and ChatGPT-4.0. The accuracy of the answers of 52 students and ChatGPT was evaluated. The accuracy of answers between students and artificial intelligence was compared, and the percentage of passing the exam was 60%. All responses were reviewed by two authors with full interrater agreement. Results Total scores for students, ChatGPT-3.5, and ChatGPT-4.0 were 85.46%, 52.73%, and 74.55% (p < 0.05), whereby ChatGPT-4.0 achieved better results compared to the other chatbot. ChatGPT-3.5 and ChatGPT-4.0 achieved the best results on questions about enzymes in metabolism. The lowest scores for both chatbots were observed in the laboratory analysis of enzymes. Conclusion ChatGPT showed average results in the Laboratory Enzymology exam and scored lower than students. This proved that chatbots could be a potential tool for learning and eventual implementation in higher and/or medical education with extensive optimization but still cannot replace a human.

Indexed as

artifical intelligencechatgptenzymesmedical educationmetabolism

Identifiers

PMID40364889
PMCPMC12070819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.