{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T21:16:46Z","timestamp":1769203006364,"version":"3.49.0"},"reference-count":28,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:00:00Z","timestamp":1769040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Artificial Intelligence (AI) is a computer science that focuses on developing systems and machines capable of performing tasks that typically require human cognitive abilities. It has widespread applications in medical diagnostics. Its use has led to rapid advancements in diagnostic methodology, enabling the analysis of large datasets. The major applications of AI in medical diagnostics include personalized treatment based on patient genetics, preventive measures, and medical image analysis. AI is employed to analyse genomic data and biomarkers, aiding in the precise tailoring of therapies to individual patient needs. It could also be employed in modern dentistry in the near future, helping to achieve higher efficiency and accuracy in diagnosis and treatment planning. AI may be utilized in screening for oral mucosa lesions and to discriminate between oral potentially malignant disorders and cancers from benign lesions. The potential advantages of AI include high speed and accuracy in the diagnostic process, as well as relatively low costs. The aim of this review was to present the potential applications of AI methods in the diagnosis of selected mucocutaneous diseases. A literature review focuses on oral lichen planus, recurrent aphthous stomatitis, and oral and laryngeal leukoplakia.<\/jats:p>","DOI":"10.3390\/diagnostics16020365","type":"journal-article","created":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T17:52:38Z","timestamp":1769190758000},"page":"365","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Use of Artificial Intelligence for Diagnosing Oral Mucosa Conditions: A Review"],"prefix":"10.3390","volume":"16","author":[{"given":"Bianka","family":"Andrzejczak","sequence":"first","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksandra","family":"Diedul","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Szczepankiewicz","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Trojanowski","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antoni","family":"Skrzypczak","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"B\u0105czkiewicz","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanna","family":"Szyma\u0144ska","sequence":"additional","affiliation":[{"name":"Medical Faculty, Poznan University of Medical Sciences, ul. Fredry 10, 61-701 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marzena Liliana","family":"Wyganowska","sequence":"additional","affiliation":[{"name":"Department of Periodontology and Oral Mucosa Diseases, Poznan University of Medical Sciences, ul. Bukowska 70, 60-812 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5482-3964","authenticated-orcid":false,"given":"Zuzanna","family":"\u015alebioda","sequence":"additional","affiliation":[{"name":"Department of Periodontology and Oral Mucosa Diseases, Poznan University of Medical Sciences, ul. Bukowska 70, 60-812 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1007\/s00784-023-05475-4","article-title":"Artificial intelligence for classification and detection of oral mucosa lesions on photographs: A systematic review and meta-analysis","volume":"28","author":"Rokhshad","year":"2024","journal-title":"Clin. Oral Investig."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ossowska, A., Kusiak, A., and \u015awietlik, D. (2022). Artificial Intelligence in Dentistry-Narrative Review. Int. J. Environ. Res. 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