ReviewCurrent medicinal chemistry2026
Artificial Intelligence in Oral Cancer Diagnosis: Overcoming Challenges for Enhanced Outcomes.
Review in Current medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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2 authors.
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Abstract
Oral-related cancer accounts for the sixth leading cause of cancer-related deaths and one death every hour in the United States. Several factors may contribute to the formation of oral tumors, including tobacco use, alcohol consumption, unhealthy diets low in fruits and vegetables, age, and general lifestyle. Smoking and alcohol consumption, in particular, have been found to contribute 80% and 61% to oral cancer in men and women, respectively. It is also well-known that oral cancer is more prevalent in underprivileged groups, where access to healthcare and health education, particularly education on making informed decisions to protect one's health, is often not prioritized or enforced. In recent studies, besides tobacco and alcohol, HPV has been identified as a prominent risk factor, particularly HPV type 16, for oropharyngeal cancer. This virus is often associated with oropharyngeal cancers, which occur in the tonsils and base of the tongue.
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