Smartphone imaging system shows promise for early oral cancer detection in dental clinics
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Dec-2025 10:11 ET (13-Dec-2025 15:11 GMT/UTC)
Researchers at Rice University, UTHealth School of Dentistry, and The University of Texas M.D. Anderson Cancer Center have developed a smartphone-based imaging system, mDOC, to help dental professionals identify patients who may need referral for oral cancer evaluation. The device captures white light and autofluorescence images of the mouth and uses a machine learning algorithm to assess risk. In a study of 50 patients at community dental clinics, the system demonstrated 60 percent sensitivity and 88 percent specificity in identifying lesions requiring expert review—outperforming standard clinical exams. The technology offers a fast, low-cost tool to support early detection and timely referral in routine dental care settings.
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