《柳叶刀》近日发表一项深度学习AI研究。研究发现,一个人工智能模型(AI)可利用一种快速且无创的10秒检测来识别患有阵发性房颤的病人,即使在正常节律时也能识别;相比较之下,现有检查手段则需数周甚至数年。虽然此项技术尚处于早期,如需应用尚待进一步研究,但相关结果有望协助医生探查不明原因脑卒中和心衰,以便恰当治疗。
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This study was funded by internal Mayo Clinic resources. It was conducted by researchers from the Mayo Clinic.
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[1] https://www.cdc.gov/dhdsp/data_statistics/fact_sheets/fs_atrial_fibrillation.htm
[2] Quote direct from author and cannot be found in the text of the Article.
[3] The study used ECGs that were clinically indicated, but the indications were not specified and range from people having a routine annual exam to people experiencing cardiac symptoms.
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