aceDiagnostic Efficiency of Artificial Intelligence Integrated Intraoral Mobile Photographs in Identification of Oral Potentially Malignant Disorders: An Umbrella Review
Background Oral potentially malignant disorders (OPMDs) are precursors to oral squamous cell carcinoma (OSCC), a malignancy with high morbidity and mortality due to late diagnosis. Conventional diagnostic methods, though accurate, are invasive and often inaccessible in resource-limited areas. Intraoral mobile photographs integrated with artificial intelligence (AI) as a screening tool may offer a noninvasive, cost-effective, and accessible alternative for early detection of OPMDs. The study aimed to evaluate the…
AI-integrated intraoral mobile photographs achieved 90% pooled sensitivity and 89% specificity for noninvasive early detection of oral potentially malignant disorders, offering an accessible screening alternative in low-resource settings.
AI-integrated intraoral mobile photographic models showed high variability in specificity and have not yet been validated in real-world scenarios, requiring refinement of algorithms and standardization of imaging.
Higher variability in specificity and lack of real-world validation limit generalizability, requiring algorithm refinement and standardized imaging.
Evidence
- Peer-reviewedInternational Journal of Dentistry2026-10-01
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Truvace Impact Record TRV-2026-1261, v1: “Diagnostic Efficiency of Artificial Intelligence Integrated Intraoral Mobile Photographs in Identification of Oral Potentially Malignant Disorders: An Umbrella Review.” Truvace, 2026-10-03. /record/TRV-2026-1261 (accessed at citation time). sha256 ff5eb5a345a4e9dc…
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