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Updated: Sep 29, 2025
05:42
Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies
Published on: August 11, 2023
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Artificial intelligence - can it be used to outsmart oral cancer?
G Baniulyte1, K Ali2
1Academic Clinical Fellow in Oral Surgery, Oral and Maxillofacial Department, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.
Evidence-Based Dentistry
|March 26, 2022
Summary
Artificial intelligence shows promising accuracy for diagnosing and predicting oral cancer. This technology offers a positive trend in improving oral cancer detection and patient outcomes.
Area of Science:
- Oncology
- Medical Informatics
- Artificial Intelligence
Background:
- Oral cancer diagnosis and prognosis prediction are critical for patient outcomes.
- Artificial intelligence (AI) offers potential advancements in medical diagnostics.
Purpose of the Study:
- To systematically review the literature on the application of artificial intelligence in oral cancer diagnosis and prognosis.
- To evaluate the diagnostic accuracy and predictive performance of AI technologies in oral oncology.
Main Methods:
- Comprehensive electronic searches were conducted across multiple databases (PubMed, Scopus, Embase, etc.) from January 2000 to March 2021.
- Original research studies quantifying AI performance in oral cancer diagnosis or prognosis were selected.
- Study quality was assessed using the QUADAS-2 tool for diagnostic accuracy.
Main Results:
- Sixteen studies met the inclusion criteria, encompassing various designs including cross-sectional, cohort, and retrospective studies.
- Six studies specifically focused on the diagnostic capabilities of AI in oral cancer.
- All included studies demonstrated a positive trend, indicating favorable performance of AI technologies.
Conclusions:
- Artificial intelligence demonstrates significant potential and good accuracy in the diagnosis of oral cancer.
- AI shows promise for improving the prediction of oral cancer outcomes.
- Further research and validation are warranted to fully integrate AI into clinical practice for oral cancer management.
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