Studies

Primary studies

26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.

13 studies

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StudyYearReviewsReview outcomes linkedTrial data
Machine learning approach using radiomics features to distinguish odontogenic cysts and tumours
Muraoka 2025 · Muraoka H., Kaneda T., et al. · International Journal of Oral and Maxillofacial Surgery
DOI:10.1016/j.ijom.2025.06.020
20261none statednot extracted yet
Machine learning approach using radiomics features to distinguish odontogenic cysts and tumours.
Muraoka H 2025 · Muraoka H, Kaneda T, et al. · International journal of oral and maxillofacial surgery
PMID:40617787
20261none statednot extracted yet
CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw.
Sha X 2025 · Sha Xiaoyan, Wang Chao, et al. · Dento maxillo facial radiology
PMID:40111800
20251none statednot extracted yet
Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT.
Song Y 2024 · Song Yang, Ma Sirui, et al. · Dento maxillo facial radiology
PMID:38627247
20241none statednot extracted yet
New perspectives in the differential diagnosis of jaw lesions: Machine learning and inflammatory biomarkers.
Committeri U 2024 · Committeri Umberto, Barone Simona, et al. · Journal of stomatology, oral and maxillofacial surgery
PMID:38719192
20241none statednot extracted yet
Odontogenic cystic lesion segmentation on cone-beam CT using an auto-adapting multi-scaled UNet.
Huang Z 2024 · Huang Zimo, Li Bo, et al. · Frontiers in oncology
PMID:38933446
20241none statednot extracted yet
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning.
Liu W 2024 · Liu Wei, Li Xiang, et al. · Dento maxillo facial radiology
PMID:38937280
20241none statednot extracted yet
Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT.
Yeshua T 2023 · Yeshua Talia, Ladyzhensky Shmuel, et al. · European radiology
PMID:37191921
20231none statednot extracted yet
Computer tomographic differential diagnosis of ameloblastoma and odontogenic keratocyst: classification using a convolutional neural network.
Bispo M S 2021 · Bispo Mayara Simões, Pierre Júnior Mário Lúcio Gomes de Queiroz, et al. · Dento maxillo facial radiology
PMID:33882255
20211none statednot extracted yet
Improved Diagnostic Accuracy of Ameloblastoma and Odontogenic Keratocyst on Cone-Beam CT by Artificial Intelligence.
Chai Z 2022 · Chai Zi-Kang, Mao Liang, et al. · Frontiers in oncology
PMID:35155194
20211none statednot extracted yet
Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network.
Lee JH 2020 · Lee Jae-Hong, Kim Do-Hyung, et al. · Oral diseases
PMID:31677205
20201none statednot extracted yet
Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and Spherical Harmonics.
Abdolali F 2017 · Abdolali Fatemeh, Zoroofi Reza Aghaeizadeh, et al. · Computer methods and programs in biomedicine
PMID:28187891
20171none statednot extracted yet
Computer-aided diagnosis of periapical cyst and keratocystic odontogenic tumor on cone beam computed tomography.
Yilmaz E 2017 · Yilmaz E, Kayikcioglu T, et al. · Computer methods and programs in biomedicine
PMID:28688493
20171none statednot extracted yet