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.

28 studies

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StudyYearReviewsReview outcomes linkedTrial data
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques.
Ahmad 2023 · Ahmad Mehran, Irfan Muhammad Abeer, et al. · Cancers
PMID:37958422
20232none statednot extracted yet
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 2021 · Jubair Fahed, Al-Karadsheh Omar, et al. · Oral diseases
PMID:33636041
20222none statednot 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
Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
Warin 2021 · Warin Kritsasith, Limprasert Wasit, et al. · Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
PMID:34358372
20212none statednot 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
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
PMID:33150326
20202none statednot extracted yet
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.
Jeyaraj 2019 · Jeyaraj Pandia Rajan, Samuel Nadar Edward Rajan · Journal of cancer research and clinical oncology
PMID:30603908
20192none statednot extracted yet
Drug use and HIV-1 infection: report from the Second Italian Multicenter Study.
Elmsmari 2023 · Salmaso S, Conti S, et al. · Journal of acquired immune deficiency syndromes
PMID:2023101
199123not extracted yet
Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy
Shree 2024 · Shree Priya, Aggarwal Yogendra, et al. · Indian Journal of Otolaryngology and Head & Neck Surgery
DOI:10.1007/s12070-023-04294-z
20241none statednot extracted yet
Intelligent deep learning supports biomedical image detection and classification of oral cancer
Chen 2024 · Chen Rongcan, Wang Qinglian, et al. · Technology and Health Care
DOI:10.3233/thc-248041
202413not extracted yet
Intelligent deep learning supports biomedical image detection and classification of oral cancer.
Chen 2024 · Chen Rongcan, Wang Qinglian, et al. · Technology and health care : official journal of the European Society for Engineering and Medicine
PMID:38759069
20241none statednot extracted yet
Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy.
Shree 2024 · Shree Priya, Aggarwal Yogendra, et al. · Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India
PMID:38883442
20241none statednot extracted yet
Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning
Panigrahi 2023 · Panigrahi Santisudha, Nanda Bhabani Sankar, et al. · Heliyon
DOI:10.1016/j.heliyon.2023.e13444
202311not extracted yet
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques
Ahmad 2023 · Ahmad Mehran, Irfan Muhammad Abeer, et al. · Cancers
DOI:10.3390/cancers15215247
202313not extracted yet
Noninvasive diagnosis of oral squamous cell carcinoma by multi-level deep residual learning on optical coherence tomography images.
Yuan 2023 · Yuan Wei, Yang Jinsuo, et al. · Oral diseases
PMID:35842738
20231none statednot extracted yet
Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning.
Panigrahi 2023 · Panigrahi Santisudha, Nanda Bhabani Sankar, et al. · Heliyon
PMID:37101475
20231none statednot extracted yet
Noninvasive diagnosis of oral squamous cell carcinoma by multi‐level deep residual learning on optical coherence tomography images
Yuan 2023 · Yuan Wei, Yang Jinsuo, et al. · Oral Diseases
DOI:10.1111/odi.14318
202213not extracted yet
Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images.
Warin 2022 · Warin K, Limprasert W, et al. · International journal of oral and maxillofacial surgery
PMID:34548194
20221none statednot extracted yet
Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach.
Shimpi 2022 · Shimpi Neel, Glurich Ingrid, et al. · Journal of personalized medicine
PMID:35455730
202212not extracted yet
The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer
Banavar 2021 · Banavar Guruduth, Ogundijo Oyetunji, et al. · npj Genomic Medicine
DOI:10.1038/s41525-021-00257-x
202112not extracted yet
Application of artificial intelligence and machine learning for prediction of oral cancer risk
Alhazmi 2021 · Alhazmi Anwar, Alhazmi Yaser, et al. · Journal of Oral Pathology & Medicine
DOI:10.1111/jop.13157
202113not extracted yet
Automatic classification and detection of oral cancer in photographic images using deep learning algorithms
Warin 2021 · Warin Kritsasith, Limprasert Wasit, et al. · Journal of Oral Pathology & Medicine
DOI:10.1111/jop.13227
202112not extracted yet
Application of artificial intelligence and machine learning for prediction of oral cancer risk.
Alhazmi 2021 · Alhazmi Anwar, Alhazmi Yaser, et al. · Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
PMID:33394536
20211none statednot extracted yet
The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer.
Banavar 2021 · Banavar Guruduth, Ogundijo Oyetunji, et al. · NPJ genomic medicine
PMID:34880265
20211none statednot extracted yet
Machine learning and treatment outcome prediction for oral cancer
Chu 2020 · Chu Chui S., Lee Nikki P., et al. · Journal of Oral Pathology & Medicine
DOI:10.1111/jop.13089
202013not extracted yet
Machine learning and treatment outcome prediction for oral cancer.
Chu 2020 · Chu Chui S, Lee Nikki P, et al. · Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
PMID:32740951
20201none statednot extracted yet
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
Jeyaraj 2019 · Jeyaraj Pandia Rajan, Samuel Nadar Edward Rajan · Journal of Cancer Research and Clinical Oncology
DOI:10.1007/s00432-018-02834-7
201913not extracted yet