Space-time-regulated imaging analyzer for smart coagulation diagnosis
Longfei Chen, Le Yu, Yantong Liu, Hongshan Xu, Linlu Ma, Pengfu Tian, Jiaomeng Zhu, Fang Wang, Kezhen Yi, Hui Xiao, Fuling Zhou, Yi Yang, Yanxiang Cheng, Long Bai, Fubing Wang, Yimin Zhu
Abstract
The development of intelligent blood coagulation diagnoses is awaited to meet the current need for large clinical time-sensitive caseloads due to its efficient and automated diagnoses. Herein, a method is reported and validated to realize it through artificial intelligence (AI)-assisted optical clotting biophysics (OCB) properties identification. The image differential calculation is used for precise acquisition of OCB properties with elimination of initial differences, and the strategy of space-time regulation allows on-demand space time OCB properties identification and enables diverse blood function diagnoses. The integrated applications of smartphones and cloud computing offer a user-friendly automated analysis for accurate and convenient diagnoses. The prospective assays of clinical cases (n = 41) show that the system realizes 97.6%, 95.1%, and 100% accuracy for coagulation factors, fibrinogen function, and comprehensive blood coagulation diagnoses, respectively. This method should enable more low-cost and convenient diagnoses and provide a path for potential diagnostic-markers finding.