Literature DB >> 7629363

Using computers to diagnose and plan treatment of approximal caries. Detected in radiographs.

R C Duncan1, T Heaven, R A Weems, A R Firestone, D F Greer, J R Patel.   

Abstract

Two of the authors developed a computer-based software system that is capable of diagnosing approximal caries and making decisions about restorative care. The system was compared with decisions made by a group of experienced clinicians. The results indicate that the clinician viewers overall correctly identified a similar number of surfaces as the software, but from viewer to viewer, there was more variability in the number of surfaces identified correctly than in those identified correctly by the software users. Software packages such as this have the potential to raise overall accuracy by increasing the consistency of treatment decisions over time.

Mesh:

Year:  1995        PMID: 7629363     DOI: 10.14219/jada.archive.1995.0308

Source DB:  PubMed          Journal:  J Am Dent Assoc        ISSN: 0002-8177            Impact factor:   3.634


  3 in total

1.  Effect of computer assistance on observer performance of approximal caries diagnosis using intraoral digital radiography.

Authors:  Kazuyuki Araki; Yukiko Matsuda; Kenji Seki; Tomohiro Okano
Journal:  Clin Oral Investig       Date:  2009-06-26       Impact factor: 3.573

2.  Diagnosis of Tooth Prognosis Using Artificial Intelligence.

Authors:  Sang J Lee; Dahee Chung; Akiko Asano; Daisuke Sasaki; Masahiko Maeno; Yoshiki Ishida; Takuya Kobayashi; Yukinori Kuwajima; John D Da Silva; Shigemi Nagai
Journal:  Diagnostics (Basel)       Date:  2022-06-09

3.  Designing of a Computer Software for Detection of Approximal Caries in Posterior Teeth.

Authors:  Solmaz Valizadeh; Mostafa Goodini; Sara Ehsani; Hadis Mohseni; Fateme Azimi; Hooman Bakhshandeh
Journal:  Iran J Radiol       Date:  2015-08-05       Impact factor: 0.212

  3 in total

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