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Current Issue September-December 2022
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Vol 10 | Issue 3
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| Review Article: Artificial intelligence in oral radiology: A checklist proposal |
| William José E Silva Filho, Bruno Natan Santana Lima, Laura Luiza Trindade De Souza, Thaísa Pinheiro Silva, Wilton Mitsunari Takeshita |
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To develop and present a checklist proposed to assist in planning, conducting, and reporting artificial intelligence (AI) studies in dentomaxillofacial radiology (CAIDMR - Checklist for AI in Dentom... |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Original Article: Radiomorphometric analysis of the clivus – A soothsayer of age and gender |
| Karnam Shalini, Tejaswi Katne, Srikanth Gotoor, Ramlal Gantala, Alekhya Kanaparthi, Nivedhitha Parthasarathy |
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Purpose: Skull is the most studied skeletal remaining as enamel and bones are the last ones to disintegrate after death. The clivus is one such dense part of the skull base and most of the ti... |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Original Article: Change in the mandibular cortical morphology at pre- and postdental implant operations using artificial intelligence-based computer-aided diagnosis for panoramic radiography |
| Ruri Ogawa, Ichiro Ogura |
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Background: Recently, an automated diagnostic software called PanoSCOPE was developed. Aims: The aim of this study was to investigate whether there was any change in the mandibular cor... |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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| Original Article: Are magnetic resonance imaging findings adequate for differentiating head-and-neck masses as malignant or benign? |
| Ali Ocak, Binali Cakir |
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Purpose: This work aims to determine the magnetic resonance imaging (MRI) findings of the masses seen in the head-and-neck region and the effectiveness of the MRI in separation of malignant f... |
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[Abstract] | [HTML Full text] | [PDF] | [Mobile HTML Full text] | [EPub] |
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Abstracting and Indexing Information The journal is registered with the following abstracting partners:
Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Turkey Citation Index, Wanfang Data The journal is indexed with, or included in, the following:
DOAJ |
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ISSN - Print: 2321-3841,
Online: 2321-385X
Journal of Oral and Maxillofacial Radiology is a peer-reviewed
online journal with 3 Issues print on demand
compilation of issues published.
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