A cross-sectional study to assess response generated by ChatGPT and ChatSonic to patient queries about Epilepsy
Aditya Kumar Gudimella Tirumala; Shubham Mishra; Nritya Trivedi; Divya Shivakumar; Aradhya Singh; Sanobar Shariff · 2023 · Telematics and Informatics Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
This article presents a study comparing the responses of two AI chatbots, ChatGPT and ChatSonic, regarding inquiries about epilepsy. Overall, ChatGPT and ChatSonic are very similar in terms of their capabilities and limitations and they…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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Metadata source: OpenAlex · DOI 10.1016/j.teler.2023.100110