Artificial Intelligence Innovations and Breakthroughs in Cervical Spondulicks Diagnosis
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.
万方数据
维普
