Application of artificial intelligence ECG recognition system in training of primary medical staff and general practice trainees
10.3760/cma.j.cn114798-20211110-00833
- VernacularTitle:人工智能心电识别系统在基层医疗机构与全科医师规范化培训中的效果分析
- Author:
Ningtian ZHOU
1
;
Jian JIA
;
Junhong WANG
;
Yiyang ZHAN
Author Information
1. 南京医科大学第一附属医院心血管内科，南京 210029
- Keywords:
Artificial intelligence;
Electrocardiogram interpretation;
General practitioners training
- From:
Chinese Journal of General Practitioners
2022;21(8):760-763
- CountryChina
- Language:Chinese
-
Abstract:
From July to August 2021, 60 medical staff and general practice trainees in primary care institutions were randomly assigned in two groups with 30 in each group. The control group received conventional ECG training and the study group received ECG training with artificial intelligence image recognition system. The quantitative assessment was conducted before and 2 months after training. There was no significant difference in baseline scores between two groups (43.33±9.94 vs. 44.33±10.33, P>0.005); while the scores of the study group was significantly higher than that of the control group after training (76.00±11.92 vs. 68.00±9.61, P<0.05). Compared with the control group, the correct rates of atrial fibrillation/atrial flutter, sinus arrhythmia and atrioventricular block in study group were significantly higher than those in control group (100.0% vs. 70.0%, 96.7% vs. 73.3%, 86.7% vs. 43.3%; all P<0.05). It is suggested that the application of artificial intelligence ECG recognition system can significantly increase the teaching effect in primary medical training.
