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.

22 studies

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StudyYearReviewsReview outcomes linkedTrial data
Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images
Warin 2022b · Warin K., Limprasert W., et al. · International Journal of Oral and Maxillofacial Surgery
DOI:10.1016/j.ijom.2021.09.001
202222not extracted yet
A novel lightweight deep convolutional neural network for early detection of oral cancer
Jubair 2022 · Jubair Fahed, Al‐karadsheh Omar, et al. · Oral Diseases
DOI:10.1111/odi.13825
202123not extracted yet
A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study
Fu 2020 · Fu Qiuyun, Chen Yehansen, et al. · eClinicalMedicine
DOI:10.1016/j.eclinm.2020.100558
202022not extracted yet
Machine learning versus clinicians for detection and classification of oral mucosal lesions
Schwarzler 2025 · Schwärzler Julia, Tolstaya Ekaterina, et al. · Journal of Dentistry
DOI:10.1016/j.jdent.2025.105992
20251none statednot extracted yet
Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a…
Saldivia-Siracusa 2025 · Saldivia-Siracusa Cristina, Carlos de Souza Eduardo Santos, et al. · The Lancet Regional Health - Americas
DOI:10.1016/j.lana.2025.101138
20251none statednot extracted yet
Detection of oral cancer and oral potentially malignant disorders using artificial intelligence‐based image analysis
Kouketsu 2024 · Kouketsu Atsumu, Doi Chiaki, et al. · Head & Neck
DOI:10.1002/hed.27843
20241none statednot extracted yet
Advancements in diagnosing oral potentially malignant disorders: leveraging Vision transformers for multi-class detection
Vinayahalingam 2024 · Vinayahalingam Shankeeth, van Nistelrooij Niels, et al. · Clinical Oral Investigations
DOI:10.1007/s00784-024-05762-8
20241none statednot extracted yet
Utilizing deep learning for automated detection of oral lesions: A multicenter study
Ye 2024 · Ye Yong-Jin, Han Ying, et al. · Oral Oncology
DOI:10.1016/j.oraloncology.2024.106873
20241none statednot extracted yet
Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer
Dissanayake 2024 · Devindi G. A. I., Dissanayake D. M. D. R., et al. · IEEE Access
DOI:10.1109/access.2024.3454338
20241none statednot extracted yet
Precise Identification of Oral Cancer Lesions Using Artificial Intelligence
Wuttisarnwattana 2024 · Wuttisarnwattana Patiwet, Wongsapai Mansuang, et al. · Studies in Health Technology and Informatics
DOI:10.3233/shti240601
20241none statednot extracted yet
Early Diagnosis of Oral Cancer Using Image Processing and Artificial Intelligence
Shawky 2024 · Mira Eman Shawky, .. Ahmed M. Saaduddin, et al. · Fusion: Practice and Applications
DOI:10.54216/fpa.140122
20241none statednot extracted yet
From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma.
Rabinovici-Cohen 2024 · Rabinovici-Cohen Simona, Fridman Naomi, et al. · Cancers
PMID:38473377
20241none statednot extracted yet
A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study
Keser 2022 · Keser Gaye, Bayrakdar İbrahim Şevki, et al. · Journal of Stomatology, Oral and Maxillofacial Surgery
DOI:10.1016/j.jormas.2022.08.007
20231none statednot extracted yet
AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images.
Talwar 2023 · Talwar Vivek, Singh Pragya, et al. · Cancers
PMID:37627148
20231none statednot extracted yet
Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning
Ferrer-Sanchez 2022 · Ferrer-Sánchez Antonio, Bagan Jose, et al. · Oral Oncology
DOI:10.1016/j.oraloncology.2022.105967
20221none statednot extracted yet
Interpretable deep learning approach for oral cancer classification using guided attention inference network
Figueroa 2022 · Figueroa Kevin, Song Bofan, et al. · Journal of Biomedical Optics
DOI:10.1117/1.jbo.27.1.015001
20221none statednot extracted yet
Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images
Song 2022 · Song Bofan, Li Shaobai, et al. · Journal of Biomedical Optics
DOI:10.1117/1.jbo.27.11.115001
20221none statednot extracted yet
AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer
Warin 2022a · Warin Kritsasith, Limprasert Wasit, et al. · PLOS ONE
DOI:10.1371/journal.pone.0273508
20221none statednot extracted yet
Classification of imbalanced oral cancer image data from high-risk population
Song 2021c · Song Bofan, Li Shaobai, et al. · Journal of Biomedical Optics
DOI:10.1117/1.jbo.26.10.105001
20211none statednot extracted yet
Bayesian deep learning for reliable oral cancer image classification
Song 2021a · Song Bofan, Sunny Sumsum, et al. · Biomedical Optics Express
DOI:10.1364/boe.432365
20211none statednot extracted yet
Horses Failed to Learn from Humans by Observation.
Maghsoudi 2013 · Rørvang Maria Vilain, Nielsen Tina Bach, et al. · Animals : an open access journal from MDPI
PMID:32013218
20201none statednot extracted yet
Disseminated Penicillium Marneffei infection with verrucoid lesions in an AIDS patient in Beijing, a non-endemic region.
Maghsoudi 2013 · Li HouMin, Sang JuHua, et al. · European journal of dermatology : EJD
PMID:20133218
20101none statednot extracted yet