Comparative Evaluation of Google, ChatGPT, and Perplexity for Medical Biochemistry Terminology Retrieval

Yerra Praneeth

Abstract: This study compares Google, ChatGPT, and Perplexity in retrieving definitions for selected medical biochemistry terminologies from the Pharm D curriculum. Thirty-five commonly used terms were searched on each platform, and the responses were compared for clarity, completeness, and educational usefulness. The retrieved definitions were also checked against standard biochemistry textbooks. The comparison indicated that all three platforms provided relevant information, although Perplexity generally offered more detailed responses with source-oriented presentation. The findings suggest that AI-assisted search platforms may support learning in medical education when used alongside standard academic references. Further studies using larger datasets and objective evaluation criteria recommended.

Keywords: Medical Biochemistry, Artificial Intelligence, Search Engines, Perplexity, ChatGPT, Google Search, Medical Education, Information Retrieval

How to Cite?: Yerra Praneeth, "Comparative Evaluation of Google, ChatGPT, and Perplexity for Medical Biochemistry Terminology Retrieval", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 772-777, https://www.ijsr.net/getabstract.php?paperid=MR26604211814, DOI: https://dx.doi.org/10.21275/MR26604211814

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