Why the study?
Does a deep learning algorithm based on facial photos improve CAD detection in a Chinese cohort?
Does a deep learning algorithm based on facial photos improve CAD detection in a Chinese cohort?
A deep learning algorithm using facial photos shows feasibility as a novel, non-invasive tool for CAD screening and pre-test probability assessment.
Supports facial photo DL for CAD screening feasibility; hypothesis-generating and should not change practice pending validation.
Our results suggested that a deep learning algorithm based on facial photos can assist in CAD detection in this Chinese cohort. This technique may hold promise for pre-test CAD probability assessment in outpatient clinics or CAD screening in community. Further studies to develop a clinical available tool are warranted.
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Lin et al. (2020) studied this question.
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