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. 2023 Apr 19;21(1):269.
doi: 10.1186/s12967-023-04123-5.

Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge?

Lingxuan Zhu #  1   2 , Weiming Mou #  2 , Rui Chen  3
Affiliations

Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge?

Lingxuan Zhu et al. J Transl Med. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential competing interests.

Figures

Fig. 1
Fig. 1
The performance of several large language models (LLMs) in answering different questions. All responses were generated and recorded on February 19, 2023. Three experienced urologists worked together to complete the ratings. A Accuracy of responses. Using a 3-point scale: 1 for correct, 2 for mixed with correct and incorrect/outdated data, and 3 for completely incorrect. From left to right, the performance in all questions, the performance in basic questions, and the performance in difficult questions. B The comprehensiveness of correctly answered responses. A 5-point Likert scale is used, with 1 representing “very comprehensive” and 5 representing “very Inadequate”. C Readability of answers. A 5-point Likert scale is used, with 1 representing “very easy to understand” and 5 representing “very difficult to understand”. D Stability of responses. Judged based on whether the model’s accuracy is consistent across different responses to the same question. Except for NeevaAI and Perplexity, the other models generated different responses each time, so we generated three responses for each question in these models to examine the stability of the models
See this image and copyright information in PMC

References

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