About: A Pilot Comparative Study of Dental Students' Ability to Detect Enamel-only Proximal Caries in Bitewing Radiographs With and Without the use of AssistDent (R) Deep Learning Software

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About: A Pilot Comparative Study of Dental Students' Ability to Detect Enamel-only Proximal Caries in Bitewing Radiographs With and Without the use of AssistDent (R) Deep Learning Software Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Pilot Comparative Study of Dental Students' Ability to Detect Enamel-only Proximal Caries in Bitewing Radiographs With and Without the use of AssistDent (R) Deep Learning Software
Creator	Ashley, Martin Devlin, Hugh Purvis, Brian Roudsari, Reza Williams, Tomos
Source	MedRxiv
abstract	Enamel-only proximal caries, if detected, can be reversed by non-invasive treatments. Dental bitewing radiograph analysis is central to diagnosis and treatment planning and when used to detect enamel-only proximal caries it is an important tool in minimum intervention and preventive dentistry. However, the subtle patterns of enamel-only proximal caries visible in a bitewing radiographs are difficult to detect and often missed by dental practitioners. This pilot study measures the ability of a cohort of third-year dental students to detect enamel-only proximal caries in bitewing radiographs with and without the use of a deep learning assistive software AssistDent(R). We demonstrate an increased ability in the detection of enamel-only proximal caries by the students using AssistDent, showing a mean sensitivity level of 0.80 (95%CI {+/-} 0.04), increased from 0.50 (95%CI {+/-} 0.13) p<0.01 shown by students not using AssistDent. This improvement in ability was achieved without an increase in false positives. Mean false positives per bitewing radiograph recorded by students when using AssistDent was 2.64 (95%CI {+/-} 0.57), and by students without using AssistDent was 2.46 (95%CI {+/-} 1.51). Based on these results we conclude that the AI-based software AssistDent significantly improves third-year dental students' ability to detect enamel-only proximal caries and could be considered as a tool to support minimum intervention and preventive dentistry in teaching hospitals and general practice. We also discuss how the experience of conducting this pilot study can be used to inform the design and methodology of a follow-on study of AssistDent in dental practice use.
has issue date	2020-06-17(xsd:dateTime)
bibo:doi	10.1101/2020.06.15.20131730
has license	medrxiv
sha1sum (hex)	b0d98ba1254119af422135217bdf93b35d0b894d
schema:url	https://doi.org/10.1101/2020.06.15.20131730
resource representing a document's title	A Pilot Comparative Study of Dental Students' Ability to Detect Enamel-only Proximal Caries in Bitewing Radiographs With and Without the use of AssistDent (R) Deep Learning Software
resource representing a document's body	covid:b0d98ba1254119af422135217bdf93b35d0b894d#body_text
is schema:about of	named entity 'teaching hospitals' named entity 'experience' named entity 'false positives' named entity 'dentistry' named entity 'detected' named entity 'software' named entity 'caries' named entity 'This' named entity 'radiographs' named entity 'recorded' named entity 'Dental' named entity 'Study' named entity 'Radiographs' named entity 'TO SUPPORT' named entity 'TO INFORM' named entity 'TO DETECT' named entity 'DETECTION' named entity 'dentistry' named entity 'detect' named entity 'bitewing' named entity 'enamel' named entity 'maxillo-facial' named entity 'treatment planning' named entity 'Dental' named entity 'dentistry' named entity 'enamel' named entity 'false positives' named entity 'proximal' named entity 'bitewing' named entity 'dentistry' named entity 'proximal' named entity 'proximal' named entity 'bitewing' named entity 'Caries' named entity 'peer review' named entity 'caries' named entity 'stratified sampling' named entity 'dentist' named entity 'remineralizes' named entity 'dentine' named entity 'False Positives' named entity 'dental practice' named entity 'Gold Standard' named entity 'optical coherence tomography' named entity 'proximal' named entity 'caries' named entity 'validation set' named entity 'proximal' named entity 'dentistry' named entity 'dental health' named entity '0.80' named entity 'False Positive Rate' named entity 'caries' named entity 'caries' named entity 'image acquisition' named entity 'caries' named entity 'general dental' named entity 'radiographs' named entity 'caries' named entity 'proximal' named entity 'True Positive' named entity 'proximal' named entity 'X-ray' named entity 'cancer screening' named entity 'medRxiv' named entity 'caries' named entity 'medRxiv' named entity 'non-intervention' named entity 'Caries' named entity 'enamel' named entity 'proximal' named entity 'overtreatment' named entity 'assistive software' named entity 'lesion' named entity 'caries' named entity 'caries' named entity 'validation set' named entity 'bitewing' named entity 'radiographs' named entity 'clinical analysis' named entity 'caries'

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