Application of artificial intelligence ECG recognition system in training of primary medical staff and general practice trainees / 中华全科医师杂志

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.