[Clinical research of a continuous auscultation recorder based on artificial intelligence]

Zhonghua Yi Xue Za Zhi. 2020 Nov 3;100(40):3157-3160. doi: 10.3760/cma.j.cn112137-20200303-00570.
[Article in Chinese]

Abstract

Objective: To investigate the feasibility and clinical significance of a continuous auscultation recorder of bowel sounds based on artificial intelligence in monitoring the bowel sounds. Methods: From November 1,2018 to August 12,2019, a continuous auscultation recorder of bowel sounds was applied to monitor the perioperative bowel sounds of 31 patients undergoing colorectal surgery, in order to discovery underlying rules which might be used to guide clinical practice. Results: After the operation, the bowel sounds continued to exist for (1.8±0.8) h, and then gradually weakened or disappeared, and recovered gradually after (11.2±3.5) h. The first exhaust and the first defecation were detected at the time of (22.7±5.8) h and (28.7±6.9) h after surgery, respectively. The bowel sounds rate increased after eating, and decreased significantly after exhaust/defecation. Conclusions: The continuous auscultation recorder of bowel sounds based on artificial intelligence was safe and effective, which can afford help to clinical evaluation.

目的: 探讨一种基于人工智能的连续肠鸣音听诊记录仪在监测肠鸣音方面的可行性及临床意义。 方法: 2018年11月1日至2019年8月12日,应用连续肠鸣音听诊记录仪对在南京中医药大学附属医院普外科就医31例接受结直肠癌手术的患者实施围手术期肠鸣音监测,以期摸索相关规律,指导临床。 结果: 手术结束后,肠鸣音仍持续存在(1.8±0.8)h,而后逐渐减弱或消失,(11.2±3.5)h后逐渐恢复。首次排气在术后(22.7±5.8)h,首次排便在术后(28.7±6.9)h,进食后肠率呈上升趋势,排气/排便后,肠率下降明显。 结论: 基于人工智能的连续肠鸣音听诊记录仪安全、有效,能辅助临床评估。.

Keywords: Colorectal surgery; Enhanced recovery after surgery; Gastrointestinal motility; Postoperative ileus.

MeSH terms

  • Artificial Intelligence*
  • Auscultation*
  • Gastrointestinal Motility
  • Humans
  • Monitoring, Physiologic