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This paper is in the following e-collection/theme issue:

Machine Learning (3331) Decision Support for Health Professionals (2343) Imaging Informatics (505) Orthopedics (153) Immunoinformatics and Pathology informatics (32)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66727, first published .
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Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach

Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach

Authors of this article:

Gang Kong1 Author Orcid Image ;   Qi Zhang1 Author Orcid Image ;   Dan Liu1 Author Orcid Image ;   Jingbo Pan1 Author Orcid Image ;   Kegui Liu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zamani E, Samiei S, Zamani S, Zandi R, Manafi-Rasi A. Deep learning in the diagnosis, staging, and prognosis of osteonecrosis of the femoral head: a systematic review. BMC Musculoskeletal Disorders 2026;27(1) View
  2. Başal Ö, Karakas F, Serteser B, Aydin A. Deep learning models for osteonecrosis of the femoral head on MRI: a systematic review and meta-analysis of diagnostic performance, staging accuracy, and external generalizability. Skeletal Radiology 2026 View