医学
冠状动脉钙评分
内科学
相关性
冠状动脉钙
人工智能
冠状动脉疾病
皮尔逊积矩相关系数
心脏病学
心室
统计
计算机科学
几何学
数学
作者
Jairo Aldana-Bitar,Geoffrey W. Cho,L. Anderson,Daniel W. Karlsberg,Venkat Sanjay Manubolu,Dhiran Verghese,Luay Hussein,Matthew J. Budoff,Ronald P. Karlsberg
标识
DOI:10.1097/mca.0000000000001244
摘要
Correlation between AI and human values is excellent with absolute numbers. When the CAC-DRS classification system was adopted, there was a strong correlation in the respective categories. Misclassified were predominantly in the category of CAC = 0, most often with minimal values of calcium volume. Additional algorithm optimization with enhanced sensitivity and specificity for low values of calcium volume will be required to enhance AI CAC score utilization for minimal disease. Over a broad range of calcium scores, AI software for calcium scoring had an excellent correlation compared to human expert reading and in rare cases determined calcium missed by human interpretation.
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