Cross-institutional validation of a polar map-free 3D deep learning model for obstructive coronary artery disease prediction using myocardial perfusion imaging: insights into generalizability and bias.

Purpose: Deep learning (DL) models for predicting obstructive coronary artery disease (CAD) using myocardial perfusion imaging (MPI) have shown potential for enhancing diagnostic accuracy. However, their ability to maintain consistent performance across institutions and demographics remains uncertai...

Full description

Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 11; pp. 4213 - 4224
Main Authors:	Shih, Yu-Cheng, Ko, Chi-Lun, Wang, Shan-Ying, Chang, Chen-Yu, Lin, Shau-Syuan, Huang, Cheng-Wen, Cheng, Mei-Fang, Chen, Chung-Ming, Wu, Yen-Wen
Format:	Journal Article
Published:	Springer Nature Sep2025
Online Access:	View this record in EBSCOhost