Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study
Convolutional neural networks effectively assist specialists in initial LDH diagnosis and treatment decisions based on MRI images. This synergy between AI and human expertise improves diagnostic accuracy and efficiency, highlighting the value of AI-assisted diagnosis in clinical practice.
Authors
- Ai‐Bing Huang (ORCID: https://orcid.org/0000-0001-8224-5527)
- Zheng Liu (ORCID: https://orcid.org/0000-0001-8445-1228)
- Chunmao Chen (ORCID: https://orcid.org/0000-0003-2547-7019)
- He Zhong (ORCID: https://orcid.org/0000-0002-9008-904X)
- Yong Qiu
- Yuanlong He
- Jian Bian
Institutions
- Nantong University (CN)
- Taizhou Fourth People's Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Taizhou University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1016/j.wneu.2025.123728
- Citations
- 6
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.04
Funders
- China Postdoctoral Science Foundation
- Natural Science Foundation of Jiangsu Province
- Jiangsu Provincial Key Research and Development Program
- Nanjing Medical Science and Technique Development Foundation