ABSTRACT
The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an effective self-learning tool for medical students. This evaluation was carried out using the university examination question papers of both parts 1 and 2 of medical biochemistry which comprised theory and multiple choice questions (MCQs) accounting for a total of 100 in each part. The questions were used to interact with ChatGPT, and three raters independently reviewed and scored the answers to prevent bias in scoring. We conducted the inter-item correlation matrix and the interclass correlation between raters 1, 2, and 3. For MCQs, symmetric measures in the form of kappa value (a measure of agreement) were performed between raters 1, 2, and 3. ChatGPT generated relevant and appropriate answers to all questions along with explanations for MCQs. ChatGPT has "passed" the medical biochemistry university examination with an average score of 117 out of 200 (58%) in both papers. In Paper 1, ChatGPT has secured 60 ± 2.29 and 57 ± 4.36 in Paper 2. The kappa value for all the cross-analysis of Rater 1, Rater 2, and Rater 3 scores in MCQ was 1.000. The evaluation of ChatGPT as a self-learning tool in medical biochemistry has yielded important insights. While it is encouraging that ChatGPT has demonstrated proficiency in this area, the overall score of 58% indicates that there is work to be done. To unlock its full potential as a self-learning tool, ChatGPT must focus on generating not only accurate but also comprehensive and contextually relevant content.
Subject(s)
Education, Medical , Students, Medical , Humans , Universities , Learning , Research PersonnelABSTRACT
BACKGROUND: Asymmetric dimethylarginine (ADMA), an inhibitor of nitric oxide synthase (NOS), has been implicated in endothelial dysfunction and atherogenesis. Though there is much evidence linking ADMA with atherosclerosis and adverse cardiovascular events, only a few studies have established the independent relationship between elevated ADMA and the angiographic extent of coronary artery disease (CAD). The aim of the study was to analyze serum ADMA levels in patients with varied extent and severity of coronary atherosclerosis and to see whether the levels of ADMA in male and female participants vary significantly. METHODS: We analyzed 40 individuals with obstructive CAD, including men and women, between the ages of 30 and 60. According to their coronary angiographic reports, the participants were divided into four groups: minor CAD, single vessel disease (SVD), double vessel disease (DVD) group and triple vessel disease (TVD). Then, serum ADMA levels was measured and compared among these groups. RESULTS: ADMA level was significantly higher in patients with TVD (167.74±16.69) than those in the DVD (159.46±10.40), SVD (149.54±16.39) and minor CAD (144.5± 24.16) group (p-value= 0.0001). There was no significant difference in ADMA levels between male and female participants (p= 0.534). CONCLUSION: ADMA concentration in the serum may be useful in identifying whether CAD correlates significantly to the extent and severity of coronary atherosclerosis.
