evidencegaps
Primary study · included by 3 reviews

Diagnostic accuracy of artificial intelligence assisted clinical imaging in the detection of oral potentially malignant disorders and oral cancer: a systematic review and meta-analysis.

Li 2024 · Li JingWen, Kot Wai Ying, McGrath Colman Patrick, et al. · International journal of surgery (London, England) · 2024

Included by

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.
Non-Cochrane · DTA;umbrella · 2026 · cited as Li 2024 · Tables 1 and 3; reference 53

The review does not say which of its outcomes this study informs.

Diagnostic performance of artificial intelligence in oral squamous cell carcinoma detection: a higher-order evidence synthesis through umbrella review and meta-meta-analysis.
Non-Cochrane · DTA · 2026 · cited as Li 2024 · Table 1; references 26 to 40

The review does not say which of its outcomes this study informs.

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 Li 2024 · Table 2; Figure 2; References 7-12

The review does not say which of its outcomes this study informs.

3 including reviews in total.