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Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare.

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Title: Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare.
Authors: Şenoymak, İrem1, Erbatur, Nuriye Hale2, Şenoymak, Mustafa Can2 senoymak@gmail.com, Egici, Memet Taşkın3
Source: International Journal of Diabetes in Developing Countries. Sep2025, Vol. 45 Issue 3, p619-626. 8p.
Database: Academic Search Ultimate
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  Data: Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Diabetes+in+Developing+Countries%22">International Journal of Diabetes in Developing Countries</searchLink>. Sep2025, Vol. 45 Issue 3, p619-626. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187233892
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        Value: 10.1007/s13410-024-01401-w
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      – Code: eng
        Text: English
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              Text: Sep2025
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              Y: 2025
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              Value: 45
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