[Research advances in artifical intelligence for the diagnosis and treatment of lumbar disc herniation].

Authors

Zhiqiang Wang, Shun Lin, Xiaochun Li, Jintao Liu, Hong Jiang

Published in

Zhongguo gu shang = China journal of orthopaedics and traumatology. Volume 39. Issue 10. Pages 1075-80. Oct 25, 2026.

Abstract

Lumbar disc herniation(LDH) is one of the major disabling diseases worldwide. Its diagnosis and treatment have long relied on doctors' experience, which is subject to strong subjectivity and lacks quantifiable standards. The development of artificial intelligence (AI) technologies, especially machine learning and deep learning, has provided a new path for the automation, precision, and intelligence of LDH diagnosis and treatment. This article systematically reviews the cutting-edge applications of AI in LDH. In terms of diagnosis, it covers intelligent segmentation and quantification of imaging structures, automated classification of LDH imaging findings, and multimodal-assisted diagnosis that integrates imaging with clinical texts. Regarding treatment and prognosis, it highlights advances in AI applications for decision support in treatment selection, surgical planning and navigation, and prediction of treatment outcomes. Furthermore, the paper analyzes current challenges in data, algorithms, and clinical translation, and outlines future research directions, including the construction of high-quality datasets, the development of explainable models, and the enhancement of human-AI collaboration, with the aim of providing references for clinical practice and scientific research.

PMID:
42988407
Bibliographic data and abstract were imported from PubMed on 06 Nov 2026.

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