<?xml version="1.0" encoding="utf-8"?><article><front><Journal-meta><journal-id journal-id-type='publisher'>DJ/168/2025</journal-id><journal-title >Enviro Dental Journal</journal-title><issn pub-type='PPub'>0125-888</issn><issn pub-type='ePub'>0125-895</issn><publisher><publisher-name>Enviro Research Publishers</publisher-name></publisher></Journal-meta><article-meta><article-id pub-id-type='other'>cwe-29-30-000</article-id><title-group><article-title><p>Artificial Intelligence (A.I.), and Oral Cancer: An Appraisal.</p></article-title></title-group><contrib-group><contrib contrib-type='author'><name><surname> Touyz</surname><given-names>Louis Zalman Gick</given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib></contrib-group><aff id='aff001'><sup>1</sup><instname></instname>,<deptname>School of Dental Medicine and Related Sciences </deptname>, <instaddress>McGill University</instaddress>, <instcity>Montreal</instcity>, <instcountry>Canada</instcountry>.</aff><pub-date pub-type='ppub'><publicationDate></publicationDate></pub-date><doi>10.12944/EDJ.07.0102.06</doi><volume> Volume 7</volume><issue>issue 1-2</issue><page>47-51</page><abstract><title>Abstract</title><p><p>The definitive diagnosis of oral neoplastic lesions, remains a histopathological examination from biopsy. Oral cancer treatment involves diagnosis, surgical excision, probable radiation therapy and post -op monitoring, all of which can be facilitated, affirmed and expedited by using A.I., as an adjunct to clinical acumen and management. Application of A.I. should/can/must be included in all training g of dental health care workers.</p></p></abstract><kwd-group><title>Keywords</title><kwd>Artificial-Intelligence</kwd><kwd>  Cancer</kwd><kwd> Oral-Medicine</kwd></kwd-group><counts><ref-count count='' /><page-count count='' /></counts></article-meta></front><back><ref-list><title>References</title></ref-list></back></article>