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Potential and limitations of large language models in acute chest pain triage. Response to Evaluating the predictive accuracy of ChatGPT in risk stratification for chest pain in the emergency department.

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Title: Potential and limitations of large language models in acute chest pain triage. Response to Evaluating the predictive accuracy of ChatGPT in risk stratification for chest pain in the emergency department.
Authors: Shinde, Varsha1 (AUTHOR), Kanani, Pratik1 (AUTHOR), Bhimani, Keyur1 (AUTHOR)
Source: Emergency Care Journal. 2026, Vol. 22 Issue 2, p1-2. 2p.
Database: Academic Search Ultimate
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An: 194970854
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  Data: Potential and limitations of large language models in acute chest pain triage. Response to Evaluating the predictive accuracy of ChatGPT in risk stratification for chest pain in the emergency department.
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  Data: <searchLink fieldCode="AR" term="%22Shinde%2C+Varsha%22">Shinde, Varsha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kanani%2C+Pratik%22">Kanani, Pratik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bhimani%2C+Keyur%22">Bhimani, Keyur</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Emergency+Care+Journal%22">Emergency Care Journal</searchLink>. 2026, Vol. 22 Issue 2, p1-2. 2p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194970854
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        Value: 10.4081/ecj.2026.15130
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      – Code: eng
        Text: English
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      – TitleFull: Potential and limitations of large language models in acute chest pain triage. Response to Evaluating the predictive accuracy of ChatGPT in risk stratification for chest pain in the emergency department.
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            NameFull: Shinde, Varsha
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            NameFull: Kanani, Pratik
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            NameFull: Bhimani, Keyur
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              Text: 2026
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