{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T06:06:04Z","timestamp":1780725964768,"version":"3.54.1"},"reference-count":0,"publisher":"Biomedical Informatics","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioinformation"],"published-print":{"date-parts":[[2026,5,31]]},"abstract":"<jats:p>Premalignant and malignant oral lesions pose a significant global health burden, with delayed diagnosis adversely affecting patient outcomes. Therefore, it is of interest to evaluate the diagnostic performance and reliability of an artificial intelligence (AI)-based image analysis system in identifying early morphological changes in cultured oral epithelial cells under simulated pathological conditions. Human oral keratinocytes were exposed to oxidative stress and inflammatory cytokines and phase-contrast images were analyzed using a convolutional neural network trained to classify normal, stressed and dysplastic cells. The AI system demonstrated high accuracy (94.2%), sensitivity (93.8%), specificity (95.1%) and strong agreement with expert cytopathologists (\u03ba = 0.91), with reduced analysis time compared to manual evaluation. AI-based image analysis shows promise as a reliable adjunctive tool for early detection and screening of oral lesions.<\/jats:p>","DOI":"10.6026\/973206300222817","type":"journal-article","created":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T05:50:37Z","timestamp":1780725037000},"page":"2817-2822","source":"Crossref","is-referenced-by-count":0,"title":["AI-assisted image analysis of in vitro oral cell morphology for early disease detection"],"prefix":"10.6026","volume":"22","author":[{"given":"Nidhi","family":"Hirani","sequence":"first","affiliation":[{"name":"Department of Oral medicine and Radiology, Government Dental College and Hospital, Jamnagar, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ketankumar","family":"Jayantilal Prajapati","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Pathology, Siddhpur Dental College and Hospital, Siddhpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ankita","family":"Shrivastava","sequence":"additional","affiliation":[{"name":"Department of Dentistry, Gajra Raja Medical College, Gwalior, Madhya Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditya S.","family":"Dupare","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine diagnosis & Radiology, Yogita Dental College & Hospital, Khed, Dist Ratnagiri, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nilesh Dinesh","family":"Pardhe","sequence":"additional","affiliation":[{"name":"Department of Oral Pathology, ESIC Dental College & Hospital, Kalaburagi, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rakashree","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Maharishi Markandeshwar College of Dental Sciences and Research, Mullana, Ambala, Haryana, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4070","published-online":{"date-parts":[[2026,5,31]]},"container-title":["Bioinformation"],"original-title":[],"deposited":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T05:50:38Z","timestamp":1780725038000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.bioinformation.net\/022\/973206300222817.htm"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,31]]},"references-count":0,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,5,31]]},"published-print":{"date-parts":[[2026,5,31]]}},"URL":"https:\/\/doi.org\/10.6026\/973206300222817","relation":{},"ISSN":["0973-8894","0973-2063"],"issn-type":[{"value":"0973-8894","type":"print"},{"value":"0973-2063","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,31]]}}}