The Study of Artificial Intelligence-Assisted Diagnosis of Low Back Pain

Chunde Li; Longtao Qi; Yangyang Xu

doi:10.29007/dpqw

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The Study of Artificial Intelligence-Assisted Diagnosis of Low Back Pain

4 pages•Published: July 12, 2018

Chunde Li, Longtao Qi and Yangyang Xu

Abstract

Low back pain is one of the most common reasons for outpatient service. It is associated with high costs, and can cause loss of labor and the indirect economic. In Europe and the United States, lower back pain has the corresponding guideline for diagnosis and treatment. But, the hierarchical medical system and process of China is not established at present, and there is lack of guidelines. So, a large number of patients with low back pain have outpatient service in the superior hospital, and it caused a conflict between the increasing demand for outpatient visits and limited medical resources and wasted a lot of public health resources. So, we want to apply the artificial intelligence on the diagnosis of low back pain to help doctor diagnosis and reduce the burden of clinic work.

Keyphrases: AiKNOWN system, Artificial Intelligence, low back pain

In: Wei Tian and Ferdinando Rodriguez Y Baena (editors). CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 2, pages 130--133

Links:	https://easychair.org/publications/paper/JMb3
	https://doi.org/10.29007/dpqw

BibTeX entry

@inproceedings{CAOS2018:Study_of_Artificial_Intelligence_Assisted,
  author    = {Chunde Li and Longtao Qi and Yangyang Xu},
  title     = {The Study of Artificial Intelligence-Assisted Diagnosis of Low Back Pain},
  booktitle = {CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Wei Tian and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {2},
  pages     = {130--133},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/JMb3},
  doi       = {10.29007/dpqw}}

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