Artificial Intelligence Innovations and Breakthroughs in Cervical Spondulicks Diagnosis
10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).20241030.003
- VernacularTitle:人工智能在颈椎病诊断中的创新与突破
- Author:
Xinhai GAO
1
,
2
;
Shenghua HE
Author Information
1. 广州中医药大学第四临床医学院,广东广州510000
2. 深圳市中医院骨伤科二病区,广东深圳518000
- Keywords:
artificial intelligence;
cervical spondylosis;
machine learning;
deep learning;
convolutional neural networks
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2024;45(6):961-967
- CountryChina
- Language:Chinese
-
Abstract:
Cervical spondylosis is a common degenerative spinal disease that severely impacts patients' quality of life and may lead to serious complications. Accurate diagnosis and early intervention are crucial for improving patient outcomes. However,traditional diagnostic methods have limitations in precision and efficiency,primarily relying on clinicians' subjective judgment and experience,which can result in misdiagnosis or missed diagnosis. Recent advancements in artificial intelligence (AI) technology have shown significant potential in the field of medical diagnostics,particularly in medical imaging analysis and lesion identification. AI technologies,through deep learning algorithms such as convolutional neural networks (CNNs),can automatically segment and identify lesion areas in imaging data,significantly enhancing diagnostic accuracy and efficiency. This paper reviews the latest research developments in AI for cervical spondylosis diagnosis,explores its potential in improving diagnostic precision and personalized treatment,and analyzes the current challenges and future research directions to promote further development and clinical application of AI technologies in cervical spondylosis diagnosis.
