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An artificial intelligence-assisted diagnostic platform for rapid near-patient hematology
American Journal of Hematology ( IF 10.1 ) Pub Date : 2021-07-15 , DOI: 10.1002/ajh.26295
Neta Bachar 1 , Dana Benbassat 1 , David Brailovsky 1 , Yochay Eshel 1 , Dan Glück 1 , Daniel Levner 1 , Sarah Levy 1 , Sharon Pecker 1 , Evgeny Yurkovsky 1 , Amir Zait 1 , Cordelia Sever 2 , Alexander Kratz 3, 4 , Carlo Brugnara 5, 6
Affiliation  

Hematology analyzers capable of performing complete blood count (CBC) have lagged in their prevalence at the point-of-care. Sight OLO (Sight Diagnostics, Israel) is a novel hematological platform which provides a 19-parameter, five-part differential CBC, and is designed to address the limitations in current point-of-care hematology analyzers using recent advances in artificial intelligence (AI) and computer vision. Accuracy, repeatability, and flagging capabilities of OLO were compared with the Sysmex XN-Series System (Sysmex, Japan). Matrix studies compared performance using venous, capillary and direct-from-fingerprick blood samples. Regression analysis shows strong concordance between OLO and the Sysmex XN, demonstrating that OLO performs with high accuracy for all CBC parameters. High repeatability and reproducibility were demonstrated for most of the testing parameters. The analytical performance of the OLO hematology analyzer was validated in a multicenter clinical laboratory setting, demonstrating its accuracy and comparability to clinical laboratory-based hematology analyzers. Furthermore, the study demonstrated the validity of CBC analysis of samples collected directly from fingerpricks.

中文翻译:

一种用于快速就近患者血液学的人工智能辅助诊断平台

能够进行全血细胞计数 (CBC) 的血液分析仪在护理点的普及率落后。Sight OLO(Sight Diagnostics,以色列)是一种新型血液学平台,提供 19 参数、五部分差分 CBC,旨在利用人工智能 (AI) 的最新进展解决当前床旁血液分析仪的局限性。 ) 和计算机视觉。OLO 的准确性、可重复性和标记能力与 Sysmex XN 系列系统(Sysmex,日本)进行了比较。矩阵研究比较了使用静脉、毛细血管和直接来自指尖的血液样本的性能。回归分析显示 OLO 和 Sysmex XN 之间有很强的一致性,表明 OLO 对所有 CBC 参数都具有很高的准确性。大多数测试参数都表现出高重复性和再现性。OLO 血液分析仪的分析性能在多中心临床实验室环境中得到验证,证明了其与基于临床实验室的血液分析仪的准确性和可比性。此外,该研究证明了对直接从指尖采集的样本进行 CBC 分析的有效性。
更新日期:2021-09-08
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