Application of image recognition in automatic review scheme of coagulation test
10.3969/j.issn.1673-4130.2024.11.018
- VernacularTitle:图像识别在凝血试验自动审核方案中的应用
- Author:
Zhenghua DONG
1
;
Yuqin ZUO
;
Xiaoming ZHAO
;
Lingyun JI
;
Ji YANG
Author Information
1. 同济大学附属东方医院南院检验科,上海 200123
- Keywords:
artificial intelligence;
image recognition;
coagulation test;
automatic review;
laborato-ry information system
- From:
International Journal of Laboratory Medicine
2024;45(11):1368-1374
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish an automatic review plan for coagulation tests with image recognition function,and evaluate the correctness and effectiveness of the plan.Methods Artificial intelligence software and hardware were combined to establish an image recognition system that could automatically determine the characteristics of specimens,blood volume and hematocrit.The correctness of the determination results of specimen character was compared with the visual method,the correctness of the determination results of blood volume was compared with the manual measurement method,and the correctness of hematocrit was compared with the hematology analyzer.According to the flow chart,reference interval,medical decision level,critical value range,relevant literature,work experience and historical data,the autoverification rules of coagulation tests were formulated.The autoverification rules were manually verified,and the autoverification pass rate,true positive rate,true negative rate,false positive rate,and false negative rate were calculated.The change of turnaround time in the laboratory after the implementation of the autoverification scheme was evaluated.Re-sults The accuracy rate of sample trait determination in the image recognition system was 96.72％,and the false negative rate of judging hemolytic,jaundice,and lipoid blood samples as normal samples was 0.04％.The image recognition system was compared with the blood volume data of two groups of specimens measured manually,P=0.4881.The image recognition method was not inferior to the manual measurement method.Comparing the two sets of hematocrit data from the image recognition system and the blood cell analyzer,P=0.1130,the image recognition system was not inferior to the blood cell analyzer.A total of 61 automatic re-view rules for coagulation tests had been established,including numerical abnormalities,logical abnormalities,Delta Check,sample quality abnormalities,reaction curve abnormalities,etc.The automatic review pass rate was 76.19％,true positive rate was 23.77％,true negative rate was 76.19％,false positive rate was 0.04％,and false negative rate was 0.00％.After implementing the automatic audit plan,the turnaround time of sam-ples in each quantile was shortened,with an average shortening time of 13.66 min.Conclusion The applica-tion of image recognition technology in the automatic review of coagulation tests makes the automatic review function more automated and scientific,standardizes specimen quality judgment,improves the accuracy of test results,effectively improves work efficiency and saves manpower.
