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Cited by 297

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

TMJ Disorders: Future Innovations in Diagnostics and Therapeutics

Open access
Wadhwa, Sunil, Kapila, Sunil·2008·Journal of Dental Education

Abstract

Because their etiologies and pathogenesis are poorly understood, temporomandibular joint (TMJ) diseases are difficult to diagnose and manage. All current approaches to treatments of TMJ diseases are largely palliative. Definitive and rational diagnoses or treatments can only be achieved through a comprehensive understanding of the etiologies, predisposing factors, and pathogenesis of TMJ diseases. While much work remains to be done in this field, novel findings in biomedicine and developments in imaging and computer technologies are beginning to provide us with a vision of future innovations in the diagnostics and therapeutics of TMJ disorders. These advances include the identification and use of local or systemic biomarkers to diagnose disease or monitor improvements in therapy; the use of imaging technologies for earlier and more sensitive diagnostics; and the use of biomedicine, biomimetics, and imaging to design and manufacture bioengineered joints. Such advances are likely to help to customize and enhance the quality of care we provide to patients with TMJ disorders.

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Registry

Crossref · 10.1002/j.0022-0337.2008.72.8.tb04569.x

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Metadata

Authors
Wadhwa, S., & Kapila, S.
Venue
Journal of Dental Education
Publisher
Wiley
Published
2008-08
Volume
72
Issue
8
Pages
930-947
ISSN
  • 0022-0337 (ISSN-L)
  • 1930-7837
OpenAlex
W1865015784
Cited by
297
References
54
FWCI
10.07
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: TMJ Disorders: Future Innovations in Diagnostics and Therapeutics. https://app.cochat.ai/papers/10.1002/j.0022-0337.2008.72.8.tb04569.x
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Wadhwa, S., & Kapila, S. (2008). TMJ Disorders: Future Innovations in Diagnostics and Therapeutics. Journal of Dental Education. https://doi.org/10.1002/j.0022-0337.2008.72.8.tb04569.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.