Primary study · included by 1 review

Detecting anteriorly displaced temporomandibular joint discs using super-resolution magnetic resonance imaging: a multi-center study.

Li 2023 · Li Yang, Li Wen, Wang Li, et al. · Frontiers in physiology · 2023

Included by

Non-Cochrane · DTA · 2026 · cited as Li 2023 · Reference list [25]; Table 1; Figs. 3, 5, 6

Outcome this study informs	Pooled effect	Evidence	Certainty
Specificity AI (machine/deep learning) models, all architectures pooled vs Reference standard diagnosis of TMJ anomaly	Specificity (pooled proportion) 0.399 [0.343, 0.456]	5 studies	GRADE not reported
Accuracy AI (machine/deep learning) models, all architectures pooled vs Reference standard diagnosis of TMJ anomaly	Accuracy (pooled proportion) 0.487 [0.403, 0.571]	3 studies	GRADE not reported
Sensitivity AI (machine/deep learning) models, all architectures pooled vs Reference standard diagnosis of TMJ anomaly	Sensitivity (pooled proportion) 0.399 [0.348, 0.450]	6 studies	GRADE not reported

1 including review in total.