{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T10:09:56Z","timestamp":1790762996101,"version":"4.1.0"},"reference-count":11,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"Suppl 5","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Early detection of oral cancer significantly enhances treatment outcomes and survival rates. This research evaluates the role of artificial intelligence (AI)-assisted diagnosis in identifying early-stage oral cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>A clinical research involving 100 patients with suspected oral lesions was conducted. Participants underwent conventional visual examination and AI-assisted diagnostic imaging. Diagnostic accuracy, sensitivity, and specificity were compared.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>AI-assisted diagnostics demonstrated a sensitivity of 92% and specificity of 88%, significantly outperforming conventional methods. Time to diagnosis was reduced by 40%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>AI-assisted diagnosis is a promising tool for early-stage oral cancer detection, improving diagnostic accuracy and reducing time to intervention. Further research is recommended to validate these findings in broader clinical settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jpbs.jpbs_425_25","type":"journal-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:00:22Z","timestamp":1760212822000},"page":"S3560-S3562","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":1,"title":["Evaluation of the Role of Artificial Intelligence-Assisted Diagnosis of Early-Stage Oral Cancer: A Clinical Study"],"prefix":"10.4103","volume":"17","author":[{"given":"Sanjay K.","family":"Sahoo","sequence":"first","affiliation":[{"name":"Department of Periodontics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meenal","family":"Jethlia","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Government Medical College, Parbhani, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jagjeewan","family":"Ram","sequence":"additional","affiliation":[{"name":"Department of Pathology, ASMC Kanpur Dehat, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mudita","family":"Chaturvedi","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Pathology, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune, Maharashtra, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harveen","family":"Kaur","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Radiology, Dr. Harvansh Singh Judge Institute of Dental Sciences and Hospital, Punjab University, Chandigarh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pankaj","family":"Kukreja","sequence":"additional","affiliation":[{"name":"Department of Biomedical Dental Sciences, Faculty of Dentistry, Al-Baha University, Al-Aqiq Campus, Kingdom of Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M C","family":"Prashant","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery, RKDF Dental College and Research Centre, Bhopal, Madhya Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rahul","family":"Tiwari","sequence":"additional","affiliation":[{"name":"Department of Oral and Maxillofacial Surgery, RKDF Dental College and Research Centre, Sarvepalli Radhakrishnan University, Bhopal, Madhya Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2025,10,10]]},"reference":[{"key":"R2-20260217","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1080\/14737159.2024.2340997","article-title":"The emerging role of liquid biopsy in oral squamous cell carcinoma detection: Advantages and challenges","volume":"24","author":"Gupta","year":"2024","journal-title":"Expert Rev Mol Diagn"},{"key":"R3-20260217","doi-asserted-by":"crossref","first-page":"100365","DOI":"10.1016\/j.oor.2024.100365","article-title":"Innovative approaches for skin disease identification in machine learning: A comprehensive 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