evidencegaps
Primary study · included by 1 review

Prediction of Histological Grade of Oral Squamous Cell Carcinoma Using Machine Learning Models Applied to 18F-FDG-PET Radiomics

Nikkuni 2024 · Nikkuni Yutaka, Nishiyama Hideyoshi, Hayashi Takafumi · Biomedicines · 2024

Included by

Application of artificial intelligence and radiomics in the prediction of lymph node metastasis and tumour grading of oral cancer - a systematic review and meta analysis.
Non-Cochrane · DTA · 2026 · cited as Nikkuni 2024 · Tables 1 and 2; reference list
Outcome this study informsPooled effectEvidenceCertainty
Pooled sensitivity for histopathological grade of OSCC
All AI models: machine learning or deep learning radiomics prediction of histopathological grade of OSCC vs Not specified (reference standard not stated)
Sensitivity 0.88 [0.54, 0.98]4 studiesGRADE not reported

1 including review in total.