TY - JOUR
T1 - Comparative analysis of diagnostic accuracy in adult congenital heart disease
T2 - A study of three physician groups and ChatGPT
AU - Itelman, Edward
AU - Birk, Einat
AU - Machtei, Ayelet
AU - Hirsch, Rafael
AU - Pravda, Nili Schamroth
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/12
Y1 - 2024/12
N2 - This research letter evaluates the diagnostic accuracy of three physician groups—pediatric cardiologists, adult congenital heart disease (ACHD) specialists, and general cardiologists—and compares it to the performance of an AI (Artificial Intelligence) LLM model. Based on eight targeted questions in adult congenital heart disease, the analysis highlights significant disparities in correct answer rates, with congenital specialists achieving the highest accuracy and the AI model – the lowest.
AB - This research letter evaluates the diagnostic accuracy of three physician groups—pediatric cardiologists, adult congenital heart disease (ACHD) specialists, and general cardiologists—and compares it to the performance of an AI (Artificial Intelligence) LLM model. Based on eight targeted questions in adult congenital heart disease, the analysis highlights significant disparities in correct answer rates, with congenital specialists achieving the highest accuracy and the AI model – the lowest.
UR - http://www.scopus.com/inward/record.url?scp=85208516153&partnerID=8YFLogxK
U2 - 10.1016/j.ijcchd.2024.100547
DO - 10.1016/j.ijcchd.2024.100547
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C2 - 39713227
AN - SCOPUS:85208516153
SN - 2666-6685
VL - 18
JO - International Journal of Cardiology Congenital Heart Disease
JF - International Journal of Cardiology Congenital Heart Disease
M1 - 100547
ER -
