Article Versions Notes

Monteiro L, Lima J, Silva L, Jauhal CK, Shamekh A, Brailo V, Vidović Juras D, Alqarni A, Al-Johani K, Ferreira S, et al. Accuracy of AI Tools in the Diagnosis of Benign, Potentially Malignant and Malignant Oral Lesions: A Pilot Study. Journal of Clinical Medicine. 2026; 15(7):2638. https://doi.org/10.3390/jcm15072638

Monteiro, Luis, Juliana Lima, Luís Silva, Caren Kaur Jauhal, Aaya Shamekh, Vlaho Brailo, Danica Vidović Juras, Ali Alqarni, Khalid Al-Johani, Sara Ferreira, and et al. 2026. "Accuracy of AI Tools in the Diagnosis of Benign, Potentially Malignant and Malignant Oral Lesions: A Pilot Study" Journal of Clinical Medicine 15, no. 7: 2638. https://doi.org/10.3390/jcm15072638

Monteiro, L., Lima, J., Silva, L., Jauhal, C. K., Shamekh, A., Brailo, V., Vidović Juras, D., Alqarni, A., Al-Johani, K., Ferreira, S., Salazar, F., Harte, M., & Albuquerque, R. (2026). Accuracy of AI Tools in the Diagnosis of Benign, Potentially Malignant and Malignant Oral Lesions: A Pilot Study. Journal of Clinical Medicine, 15(7), 2638. https://doi.org/10.3390/jcm15072638