Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases
10.12376/j.issn.2097-0501.2023.04.014
- VernacularTitle:计算机视觉在医学图像中的应用及其对罕见肌肉骨骼疾病的影响
- Author:
Xueyi ZHANG
1
,
2
,
3
;
Bo SUN
3
,
4
;
Guilin CHEN
3
,
5
;
Ge HU
1
,
3
,
6
;
Qing LI
3
,
5
;
Guixing QIU
3
,
5
,
7
Author Information
1. Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
2. Peking Union Medical College, Beijing 100730, China.Department of Orthopaedic Surgery, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
3. Peking Union Medical College, Beijing 100730, China.
4. Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
5. Department of Orthopaedic Surgery, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
6. Peking Union Medical College, Beijing 100730, China.Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
7. Peking Union Medical College, Beijing 100730, China.State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &
- Publication Type:Journal Article
- Keywords:
computer vision;
rare diseases;
medical images;
digital biomarkers;
digital health
- From:
JOURNAL OF RARE DISEASES
2023;2(4):589-595
- CountryChina
- Language:Chinese
-
Abstract:
There are over 6000 rare diseases in the world, affecting more than 300 million people. Early and precise diagnosis of rare diseases has always been the goal in clinical medicine. Emerging computer vision technology now greatly enhance medicine and healthcare and shows the potential in assisting the diagnosis and treatment for rare diseases. The technology can be a useful tool for extracting disease-relevant patterns from medical imaging. However, the effectiveness of its application depends on the complexity of the medical cases. In this paper, we summarize the challenges and emerging solution for the application of computer vision in diagnosis, rehabilitation as well as management of rare musculoskeletal diseases.
