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ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain
15
Zitationen
2
Autoren
2024
Jahr
Abstract
While ChatGPT-4 correlates closely with established risk stratification tools regarding mean scores, its inconsistency when presented with identical patient data on separate occasions raises concerns about its reliability. The findings suggest that while large language models like ChatGPT-4 hold promise for healthcare applications, further refinement and customization are necessary, particularly in the clinical risk assessment of atraumatic chest pain patients.
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