An Artificial Intelligence Tool for the Diagnosis of Facial Pain

The analysis of this network indicated that TMDs and TN can be reliably differentiated using a standardized questionnaire and physical examination with approximately 90% accuracy.

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Publication Details

Journal
Neurosurgery
Published
2025-06-30
DOI
https://doi.org/10.1227/neu.0000000000003610
Citations
1
Primary Topic
Trigeminal Neuralgia and Treatments
Type
article
Field-Weighted Citation Impact
1.47
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article

An Artificial Intelligence Tool for the Diagnosis of Facial Pain

Kim J. Burchiel, S. Bergman, James Obayashi, Michael McGehee
1 citations
Neurosurgery
Trigeminal Neuralgia and Treatments
1.47
article

An Artificial Intelligence Tool for the Diagnosis of Facial Pain

Kim J. Burchiel, S. Bergman, James Obayashi, Michael McGehee
article en
1 citations

Abstract

The analysis of this network indicated that TMDs and TN can be reliably differentiated using a standardized questionnaire and physical examination with approximately 90% accuracy.

NeurosurgeryVol. 97(5)
Oregon Health & Science University (US), Neurological Surgery (US)
Openalex Percentile: Top 18%
Trigeminal Neuralgia and Treatments
1.47
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An Artificial Intelligence Tool for the Diagnosis of Facial Pain — Kim J. Burchiel, S. Bergman, et al. · Neurosurgery (2025) | TGRS Research Map | TGRS