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Artificial Intelligence and Oral Cancer Diagnosis: Current Evidence, Critical Limitations, and the Basic Science Priorities Essential for Improving Diagnostic Accuracy

2026-02-28

Abstract excerpt

Oral cancer remains one of the deadliest malignancies with more than half of late-stage patients dying within five years of diagnosis globally. Late presentation before initial diagnosis is a principal driver of poor outcomes for the disease. Artificial intelligence (AI), particularly deep learning systems, has emerged as a promising tool to improve the sensitivity and timeliness of oral cancer detection. This nar...

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Literature Corpus work
65f5ff12-0dff-50b0-afe5-7cf9e9f8260d
DOI
10.20944/preprints202602.1934.v1
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Artificial Intelligence and Oral Cancer Diagnosis: Current Evidence, Critical Limitations, and the Basic Science Priorities Essential for Improving Diagnostic AccuracyDOI 10.20944/preprints202602.1934.v1
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