evidencegaps
Primary study · included by 1 review

Machine learning in point-of-care automated classification of oral potentially malignant and malignant disorders: a systematic review and meta-analysis.

Ferro 2022 · Ferro Ashley, Kotecha Sanjeev, Fan Kathleen · Scientific reports · 2022

Included by

Diagnostic Efficiency of Artificial Intelligence Integrated Intraoral Mobile Photographs in Identification of Oral Potentially Malignant Disorders: An Umbrella Review.
Non-Cochrane · DTA · 2026 · cited as Ferro 2022 · Table 2; Figure 2; References 7-12
Outcome this study informsPooled effectEvidenceCertainty
Sensitivity for detecting oral potentially malignant disorders
AI-assisted intraoral mobile photographs vs Conventional diagnostic reference standards, including histopathology
Sensitivity 0.907 [0.888, 0.926]6 studiesGRADE not reported

1 including review in total.