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Cited by 45Artificial Intelligence in Healthcare and EducationBone fractures and treatmentsMedical Imaging and Analysis

Artificial Intelligence to Diagnose Tibial Plateau Fractures: An Intelligent Assistant for Orthopedic Physicians

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Liu, Peng-ran, Zhang, Jia-yao, Xue, Ming-di, Duan, Yu-yu, Hu, Jia-lang, Liu, Song-xiang, Xie, Yi, Wang, Hong-lin +3 more·2021·Current Medical Science
DOI 10.1007/s11596-021-2501-4PMC PMC8718992
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Abstract

Objective To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of tibial plateau fractures (TPFs) and further measure its validity and feasibility.Methods A total of 542 X-rays of TPFs were collected as a reference database. An AI algorithm (RetinaNet) was trained to analyze and detect TPF on the X-rays. The ability of the AI algorithm was determined by indexes such as detection accuracy and time taken for analysis. The algorithm performance was also compared with orthopedic physicians.Results The AI algorithm showed a detection accuracy of 0.91 for the identification of TPF, which was similar to the performance of orthopedic physicians (0.92±0.03). The average time spent for analysis of the AI was 0.56 s, which was 16 times faster than human performance (8.44±3.26 s).Conclusion The AI algorithm is a valid and efficient method for the clinical diagnosis of TPF. It can be a useful assistant for orthopedic physicians, which largely promotes clinical workflow and further guarantees the health and security of patients.

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  • A study by Liu et al. demonstrated that AI was able to identify the same number of tibial plateau fractures as orthopedic specialists.

    “A study by Liu et al.30) was conducted to determine the feasibility of utilizing AI in the recognition of tibial plateau fractures, and the results demonstrated that AI was able to identify the same number of fractures as orthopedic specialists.”

    From Application of ChatGPT for Orthopedic Surgeries and Patient Care (2024) · cites this paper as [30]

  • By using ChatGPT, doctors can get an idea of the questions they can ask patients to ensure they fully understand the treatment.

    “By using ChatGPT, doctors can get an idea of the questions they can ask patients to ensure they fully understand the treatment.30)”

    From Application of ChatGPT for Orthopedic Surgeries and Patient Care (2024) · cites this paper as [30]

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Authors
Liu, P.-R., Zhang, J.-Y., Xue, M.-D., Duan, Y.-Y., Hu, J.-L., Liu, S.-X., Xie, Y., Wang, H.-L., Wang, J.-W., Huo, T.-T., & Ye, Z.-W.
Affiliations
  • Huazhong University of Science and Technology (CN)
  • Hubei University of Chinese Medicine (CN)
  • Wuhan Puai Hospital (CN)
  • Wuhan Union Hospital (CN)
Corresponding author
  • Wang, Jun-wen
  • Huo, Tong-tong
  • Ye, Zhe-wei
Venue
Current Medical Science
Publisher
Springer Science and Business Media LLC
Published
2021-12
Volume
41
Issue
6
Pages
1158-1164
ISSN
  • 2096-5230 (ISSN-L)
  • 2523-899X
DOI
10.1007/s11596-021-2501-4
PMC
PMC8718992
OpenAlex
W4205381968
Cited by
45
References
26
Citations by year
2026: 6 · 2025: 17 · 2024: 14 · 2023: 3 · 2022: 4 · 2021: 1
FWCI
1.59
Type
journal article
Language
en
Open access
Licence
Locations
  • Current Medical Science (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (81974355, 82172525)
  • Huazhong University of Science and Technology
  • Tongji University
  • Tongji Medical College, Huazhong University of Science and Technology
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Epidemiology › Bone fractures and treatments
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
Keywords
tibial plateau fractures, artificial intelligence, RetinaNet, X-ray image analysis, fracture detection, computer-aided diagnosis, orthopedic diagnosis, diagnostic accuracy, clinical workflow
MeSH terms
Adult, Algorithms, Artificial Intelligence, Feasibility Studies, Female, Humans, Male, Orthopedics, Physicians, Tibial Fractures, X-Rays

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