Primary study · included by 1 review

Predicting Malignant Transformation in Oral Leukoplakia: A Multilayer Perceptron Approach Incorporating Clinicopathological Features and DNA Content.

Pontes 2026 · Pontes Guilherme Iani, Araújo Anna Luíza Damaceno, Soares Andresa Borges, et al. · Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026

Included by

Predicting Malignant Transformation in Oral Epithelial Dysplasia: A Systematic Comparison of Artificial Intelligence-Based Risk Models and Pathologist-Based Microscopy.

Non-Cochrane · prognostic · 2026 · cited as Pontes 2026 · Table 2; reference 56

Outcome this study informs	Pooled effect	Evidence	Certainty
Malignant transformation to oral squamous cell carcinoma AI-based (machine learning or deep learning) risk prediction model on H&E histology: high-risk group vs Low-risk group	OR 12.64 [5.65, 28.26]	5 studies · 584 participants	GRADE not reported

1 including review in total.