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

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Imaging Informatics (302) Machine Learning (2076) ENT (Ear, Nose, Throat) (36)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51706, first published .
A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application

A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application

A 3D and Explainable Artificial Intelligence Model for Evaluation of Chronic Otitis Media Based on Temporal Bone Computed Tomography: Model Development, Validation, and Clinical Application

Authors of this article:

Binjun Chen1, 2 Author Orcid Image ;   Yike Li3 Author Orcid Image ;   Yu Sun4 Author Orcid Image ;   Haojie Sun1, 2 Author Orcid Image ;   Yanmei Wang1, 2 Author Orcid Image ;   Jihan Lyu1, 2 Author Orcid Image ;   Jiajie Guo5 Author Orcid Image ;   Shunxing Bao6 Author Orcid Image ;   Yushu Cheng7 Author Orcid Image ;   Xun Niu4 Author Orcid Image ;   Lian Yang8 Author Orcid Image ;   Jianghong Xu1, 2 Author Orcid Image ;   Juanmei Yang1, 2 Author Orcid Image ;   Yibo Huang1, 2 Author Orcid Image ;   Fanglu Chi1, 2 Author Orcid Image ;   Bo Liang8 Author Orcid Image ;   Dongdong Ren1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Bouktif S, Khanday A, Ouni A. Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study. Journal of Medical Internet Research 2025;27:e65434 View
  2. Ouattassi N, Zoizou A, Maaroufi M, Labiyad E, Benatiya Andaloussi T, Benmansour N, Ridal M, Zarghili A, El Amine El Alami M. Evaluating Partial Middle Ear Filling for the Diagnosis of Cholesteatoma Using Machine Learning: A Radiological Approach. Cureus 2025 View
  3. Jiang M, Li H, Chen C, Li Y, Zou X. Postirradiation Otitis Media With Effusion in Nasopharyngeal Carcinoma: A Comprehensive Review of Pathogenesis, Management, and Prevention. International Journal of Radiation Oncology*Biology*Physics 2025;123(4):1018 View
  4. Xie Y, Wang X, Yang H, Zhang J, Wang H, Yan Z, Yang J, Yan Z, Hao Z, Liu P, Kuang Y, Ye Z. Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study. Frontiers in Medicine 2025;12 View
  5. Jin M, Zhu Z, Zhou P, Liu S. Extensive deep neck abscess caused by middle ear cholesteatoma complicating Proteus vulgaris infection: A case report and literature review. Medicine 2025;104(37):e44463 View
  6. Iannone S, Kaur A, Johnson K. Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions. Journal of General Internal Medicine 2025 View
  7. Shabi S, Almutairi L, Moafa A, Omer R, Alghamdi A, Alhemaidi H, Alhamyani H, Abualiat A, Alamdi A, Alkhaibari M, Al Khairat L. Artificial Intelligence in the Diagnosis of Cholesteatoma: A Systematic Review of Current Evidence. Cureus 2025 View
  8. Yoon J, Kim J, Lim J, Dobrev I, Röösli C, Lee S, Moon I, Kim N. Automated high-fidelity 3D reconstruction of middle-ear ossicles from low-resolution clinical CT using a deep learning pipeline. Hearing Research 2026;469:109492 View
  9. Zhao Y, Ye S. A clinical predictive model for hearing recovery after middle ear cholesteatoma surgery based on machine learning. Frontiers in Neurology 2025;16 View