Evaluating the Ability of Artificial Intelligence to Address Nuanced Cardiology Subspecialty Questions: ChatGPT and CathSAP

Nanda, S., Abaza, K., Kyaw, P. H., Frankel, R., Sardar, P., Parikh, S. A., Shyam, T., & Chatterjee, S. (2025). Evaluating the Ability of Artificial Intelligence to Address Nuanced Cardiology Subspecialty Questions: ChatGPT and CathSAP. Journal of the Society for Cardiovascular Angiography & Interventions, 4(3), 102563. https://doi.org/10.1016/j.jscai.2025.102563
Authors:
Saumya Nanda
Khaled Abaza
Pyae Hein Kyaw
Robert Frankel
Partha Sardar
Sahil A. Parikh
Tharun Shyam
Saurav Chatterjee
Affiliated Authors:
Partha Sardar
Sahil A. Parikh
Columbia Affiliation:
Subjects:
Artificial Intelligence in Medicine (OpenAlex Topic)
Applications of Deep Learning in Medical Imaging (OpenAlex Topic)
Importance of Cognitive Errors in Diagnosis and Strategies (OpenAlex Topic)
Author Keywords:
artificial intelligence
cath self assessment program
chatgpt
medical education
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Publication Type:
Article
Unique ID:
10.1016/j.jscai.2025.102563
DOI:
10.1016/j.jscai.2025.102563
Journal:
Journal of the Society for Cardiovascular Angiography and Interventions
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View OpenAlex Record

Record Created: