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Per General Data Protection Regulations, all image data was completely anonymized and deidentified. This retrospective study was approved, and the requirement for written informed consent was waived, by Jeonbuk National University Hospital\u2019s Institutional Review Board. Developing deep learning-based automated AS diagnostics systems via retrospective study was approved by the research ethics board of the University of Saskatchewan.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"The requirement for informed consent was waived by Jeonbuk National University Hospital\u2019s Institutional Review Board. All image data was anonymized and deidentified. No images and\/or patient data published in this article are, with technologies current as of the time of publication, sufficient to allow a patient\u2019s identity to be realized.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}]}}