Research on the status and problems of ultrasonic medicine based on big data and artificial intelligence technology

WANG Haixing; YANG Zhiqing; GUO Lingling; GUO Yanqing; ZHANG Liang; QI Hao

doi:10.19732/j.cnki.2096-6210.2020.04.013

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Research on the status and problems of ultrasonic medicine based on big data and artificial intelligence technology

更新时间：2025-12-15

- Research on the status and problems of ultrasonic medicine based on big data and artificial intelligence technology
- Vol. 29, Issue 4, Pages: 410-413(2020)
- 作者机构：
  
  山西医科大学第一医院医疗大数据中心,山西,太原,030001
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2020.04.013
  CLC：
- Published Online：28 August 2020，
  
  Published：28 August 2020
- 稿件说明：
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王海星,杨志清,郭玲玲,等. 基于大数据和人工智能的超声医学发展现状及问题研究[J]. 肿瘤影像学, 2020, 29(4): 410-413 https://doi.

org/10.19732/j.cnki.2096-6210.2020.04.013
王海星,杨志清,郭玲玲,等. 基于大数据和人工智能的超声医学发展现状及问题研究[J]. 肿瘤影像学, 2020, 29(4): 410-413 https://doi. DOI： 10.19732/j.cnki.2096-6210.2020.04.013.

org/10.19732/j.cnki.2096-6210.2020.04.013 DOI：

摘要

超声医学进入大数据时代，与实际业务的融合促进日益加深。本研究梳理了大数据和人工智能（artificial intelligence，AI）技术在甲状腺结节、乳腺肿瘤等疾病的超声诊断中的应用现状。超声AI的优势是减轻医务人员工作量、提高诊断效率、提高诊断准确率、辅助疾病预测、提高基层服务能力。应用方面的问题包括缺乏准入的监管制度、诊断流程，责任界定不清晰。因此，超声AI应强化超声影像数据基础，优化算法算力；注重人机协同；加强准入管理，加强应用监管。

Abstract

Ultrasonic medicine has entered the era of big data

and its integration with clinic is more deep. This article summarized the application status of big data and artificial intelligence (AI) technology in ultrasonic diagnosis of thyroid nodules

breast tumors and other diseases. The advantages of ultrasonic AI are to reduce the workload of medical personnel

improve diagnostic efficiency

improve diagnostic accuracy

assist in disease prediction and improve basic medical care service ability. The problem of ultrasonic AI is lacking of access criteria

lacking of diagnostic process and the responsibility definition are not clear. Therefore

this article gived the following suggestions for the application of ultrasonic AI

they were improving the ultrasonic image data quality

optimizing the algorithms and operation ability

paying attention to man-machine cooperation

strengthening access management and supervision.

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Related Institution

Department of Ultrasound, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine

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