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Presentation Date / Time
Submission Status
Submitted
Abstract
Abstract Title
Evaluating the Performance of Perplexity AI on the Taiwan Urology Certification Examination: Accuracy, Consistency, and Educational Potential
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
AI in Urology
Author's Information
Number of Authors (including submitting/presenting author) *
9
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Taiwan
Co-author 1
Hsu-Cheng Ko hinet112271@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan *
Co-author 2
Jhe-Yuan Hsu ti921mmy@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan -
Co-author 3
Yi-Sheng Lin tung12197@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan - National Chung Hsing University Doctoral Program in Translational Medicine Taichung City Taiwan
Co-author 4
Kuan-Chun Hsueh sandersyeh@yahoo.com.tw Tungs’ Taichung MetroHarbor Hospital Division of General Surgery Taichung City Taiwan -
Co-author 5
Chao-Yu Hsu t4361@ms3.sltung.com.tw Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan -
Co-author 6
Yen-Chuan Ou ycou228@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan -
Co-author 7
Min-Che Tung tungminche@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Urology Taichung City Taiwan -
Co-author 8
Yi-Yu Chen aeve0725@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Education and Research Taichung City Taiwan -
Co-author 9
Pei-Chi Tsai peggywork2022@gmail.com Tungs’ Taichung MetroHarbor Hospital Division of Education and Research Taichung City Taiwan -
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
This study evaluates the performance of real-time, citation-backed Perplexity artificial intelligence (AI) on the Taiwan Urology Certification Examination, assessing its accuracy across different years, urological domains, and difficulty levels, as well as the consistency and comprehensiveness of its responses.
Materials and Methods
A total of 742 single-choice questions from the 2019–2023 exams were administered to Perplexity AI using Pro Search. The AI rated question difficulty on a 1–6 scale. Two urology residents evaluated correctness, consistency, and comprehensiveness based on the provided explanations. Differences in proportions were analyzed using the chi-square test.
Results
Perplexity AI achieved an average correct response rate of 54.4%, with yearly accuracies of 52.3%, 58.7%, 48.3%, 52.0%, and 60.8%, showing an upward trend. The highest accuracy (68.3%) was observed for basic-level questions. Consistency across all five years was high (88.4%), reflecting the AI’s ability to provide coherent and logical explanations. Accuracy was also higher (61.9%) for questions with comprehensive explanations. Among urological domains, Perplexity AI performed best in Infection, followed by Voiding Dysfunction/Female Urology and Transplantation.
Conclusions
Perplexity AI demonstrated strong consistency and improving accuracy over time. With further training and refinements, it has the potential to serve as a valuable, time-saving learning tool for urology residents.
Keywords
Artificial intelligence, certification, medical education, Taiwan, urology
Figure 1
https://storage.unitedwebnetwork.com/files/1237/240e4a7f17bd93e913a2051e1dae87e0.png
Figure 1 Caption
Figure 1. Correct rate of across 12 urological domains evaluated by Perplexity AI
Figure 2
https://storage.unitedwebnetwork.com/files/1237/ee05cb6e95c423d14de7e71fa54b881c.png
Figure 2 Caption
Figure 2. Correct rate of overall, partial-, complete- comprehensiveness across years
Figure 3
https://storage.unitedwebnetwork.com/files/1237/54f98620289c46d7e6e5a3ef5a9c0cb3.png
Figure 3 Caption
Table 1. Comprehensive analysis of Perplexity AI performance on the Taiwan Urology Board Examination across years
Figure 4
Figure 4 Caption
Figure 5
Figure 5 Caption
Character Count
1228
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