Abstract
Oral lichen planus is a relatively common lesion with a potential risk of malignancy. However, this lesion is considered the most debatable disease in oral medicine and pathology due to the absence of specific diagnostic criteria. In this thesis, new diagnostic approaches using minimally invasive sampling techniques coupled with artificial intelligence were introduced. These approaches showed promising outcomes and they are expected to contribute significantly to a better understanding of the nature of this disease and enhance the quality of care provided to patients.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 9 Jun 2022 |
DOIs | |
Publication status | Unpublished - 2022 |