Primary study · included by 1 review

Artificial intelligence in detecting temporomandibular joint osteoarthritis on orthopantomogram.

Choi et al. (2021) · Choi Eunhye, Kim Donghyun, Lee Jeong-Yun, et al. · Scientific reports · 2021

Included by

Artificial Intelligence for Diagnosis of Temporomandibular and Cranio-Cervico-Mandibular Musculoskeletal Disorders: A Systematic Review and Exploratory Diagnostic Test Accuracy Meta-Analysis.

Non-Cochrane · DTA · 2026 · cited as Choi 2021 · Table 3; reference [16]

Outcome this study informs	Pooled effect	Evidence	Certainty
Diagnostic accuracy: sensitivity AI-based image classification (deep learning) for TMJ osteoarthritis vs Reference standard (CBCT or CT-supported expert radiological diagnosis)	Sensitivity 0.900	7 studies	GRADE not reported
Diagnostic accuracy: sensitivity AI-based image classification (deep learning) for TMJ osteoarthritis vs Reference standard (CBCT or CT-supported expert radiological diagnosis)	Sensitivity 0.791 [0.700, 0.861]	3 studies	GRADE not reported
Diagnostic accuracy: sensitivity AI-based image classification (deep learning) for TMJ osteoarthritis vs Reference standard (CBCT or CT-supported expert radiological diagnosis)	Sensitivity 0.748 [0.688, 0.801]	2 studies	GRADE not reported

1 including review in total.