&lt;p&gt;Clinical applications of intraoral camera to increase patient compliance - current perspectives&lt;/p&gt;

Pentapati, Kalyana Chakravarthy; Siddiq, Hanan

doi:10.2147/ccide.s192847

Cited by 20 publications

(7 citation statements)

References 51 publications

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“…Intraoral photographs can be beneficial for conducting dental public health surveys, especially in suburban areas. It could be utilised as an effective medium of communication between the patient and dentist [ 8 ] and in advancing tele-dentistry [ 34 ]. Intraoral photographs may be captured by a smartphone, professional single-reflex lens camera with flash, or intraoral camera for clinical use.…”

Section: Discussionmentioning

confidence: 99%

“…In the field of dentistry, novel techniques beneficial for patients and clinicians are being developed. One such device is an intraoral camera (IOC), which is inexpensive, easy to operate with digital storage, and capable of capturing high-quality images [ 8 , 9 ]. It has also been shown that caries can be identified simply and reliably using the IOC [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

et al. 2022

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Background Intraoral photographic images are helpful in the clinical diagnosis of caries. Moreover, the application of artificial intelligence to these images has been attempted consistently. This study aimed to evaluate a deep learning algorithm for caries detection through the segmentation of the tooth surface using these images. Methods In this prospective study, 2348 in-house intraoral photographic images were collected from 445 participants using a professional intraoral camera at a dental clinic in a university medical centre from October 2020 to December 2021. Images were randomly assigned to training (1638), validation (410), and test (300) datasets. For image segmentation of the tooth surface, classification, and localisation of caries, convolutional neural networks (CNN), namely U-Net, ResNet-18, and Faster R-CNN, were applied. Results For the classification algorithm for caries images, the accuracy and area under the receiver operating characteristic curve were improved to 0.813 and 0.837 from 0.758 to 0.731, respectively, through segmentation of the tooth surface using CNN. Localisation algorithm for carious lesions after segmentation of the tooth area also showed improved performance. For example, sensitivity and average precision improved from 0.890 to 0.889 to 0.865 and 0.868, respectively. Conclusion The deep learning model with segmentation of the tooth surface is promising for caries detection on photographic images from an intraoral camera. This may be an aided diagnostic method for caries with the advantages of being time and cost-saving.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

et al. 2022

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“…21 Low-cost intra-oral cameras may facilitate the identification of previously hidden and often overlooked defects in teeth and other parts of the oral cavity. 22 Previous reports have documented their use in recording carious lesion appearance in the patient record, and they may also be of significant benefit in monitoring early lesions over time following their detection. 23,24 This benefit extends not only to dentists but also to patients, for whom it may be a useful educational and motivational tool.…”

Section: Use Of Diagnostic-imaging Multiformat Cameras For Identification Of Oral Lesionsmentioning

confidence: 99%

Feasibility and Acceptability of An Oral Pathology Asynchronous Tele-Mentoring Intervention: A Protocol

Northridge

Littlejohn

Mohadjeri-Franck

et al. 2020

Journal of Public Health Research

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Introduction: Oral cancer remains prevalent, despite being largely preventable. The widespread use of technology at chairside, combined with advances in electronic health record (EHR) capabilities, present opportunities to improve oral cancer screening by dentists, especially for disadvantaged patients with severe health needs. Design and methods: Using a mixed-methods approach, we will evaluate the feasibility and acceptability of integrating a tele-mentoring component into the identification of oral lesions using the following 3 methods: 1) administering provider surveys that consist of a checklist of 10 key components of the intervention based on process, and asking the dental provider subjects if each one was covered; 2) conducting semi-structured interviews informed by the Consolidated Framework for Implementation Research and the Implementation Outcomes Framework with dental resident subjects to assess specific barriers to sustaining the intervention and strategies for addressing these barriers to facilitate integration of the intervention into the routine workflow of the dental clinics; and 3) administering brief exit interviews with patient subjects regarding the acceptability of the intervention to assess satisfaction with the use of intra-oral cameras at chairside to screen for and refer patients with oral lesions and identification of these oral lesions via EHR and secure e-mail tele-mentoring with an oral pathology expert.Expected impact of the study for public health: If successful, then later clinical trials will maximize the external validity of the intervention and facilitate the widespread implementation and dissemination of the model for the teaching of dentists and residents, with the ultimate goal of improving patient care.

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“…The bene its of Intraoral cameras are early detection of oral health problems, improved patient-doctor relation, improves the accuracy of the advised treatment, for future case documentation, enhances doctor's credibility and better for insurance (Karthiga et al, 2018). Pictures can be given to a patient's document for future reference (Pentapati and Siddiq, 2019). The advantages of Intraoral cameras are early identi ication of oral medical issues, improved patient-doctors connection, improves the quality of the treatment, for future case documentation, upgrades doctors believability and better protection claims (Neuman, 1996).…”

Section: Intraoral Cameramentioning

confidence: 99%

Use of digital dentistry in clinical practice among dental practitioners - A review

Surya

Lakshmi

Devi

2020

ijrps

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The aim of the study is to find an opinion about the use of digital dentistry in clinical practice among dental practitioners. Digital dentistry is the use of dental technologies and devices that incorporate digital (or) computer controlled components that carry out dental procedures than using mechanical (or) electrical tools. A detailed study is done by reviewing several articles about digital dentistry in dental practice. Many dentists are focusing on advanced dentistry now-a-days, which causes them to take care of conventional issues with present day arrangements. The purpose behind this article is to analyze the idea of computerized dentistry, its focal points and restrictions, and offer expressions and perceptions on explicit areas of advanced dentistry dependent on research, understanding, and correspondence with clinicians around the world. It is expected to give a functional perspective on computerized dentistry, an improvement for more prominent selection of the areas that are concerned with digital dentistry, and quicker incorporation of new innovations.

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<p>Clinical applications of intraoral camera to increase patient compliance - current perspectives</p>

Cited by 20 publications

References 51 publications

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning

Feasibility and Acceptability of An Oral Pathology Asynchronous Tele-Mentoring Intervention: A Protocol

Use of digital dentistry in clinical practice among dental practitioners - A review

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