Artificial intelligence to support early diagnosis of temporomandibular disorders: A preliminary case study-Reference-Cited by-同舟云学术

Artificial intelligence to support early diagnosis of temporomandibular disorders: A preliminary case study

Published:2022-11-03 Issue:1 Volume:50 Page:31-38
ISSN:0305-182X
Container-title:Journal of Oral Rehabilitation
language:en
Short-container-title:J of Oral Rehabilitation

Author:

Reda Bachar¹^ORCID,Contardo Luca¹,Prenassi Marco²³,Guerra Enrico²,Derchi Giacomo⁴⁵,Marceglia Sara²³

Affiliation:

1. Dipartimento di Scienze Mediche, Chirurgiche e Della Salute University of Trieste Trieste Italy

2. Department of Engineering and Architecture University of Trieste Trieste Italy

3. Centro Clinico per la Neurostimolazione, le Neurotecnologie ed i Disordini del Movimento, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy

4. Department of Surgical Pathology, Medicine, Molecular and Critical Area University of Pisa Pisa Italy

5. Tuscan Stomatologic Institute Camaiore Italy

Publisher

Wiley

Subject

General Dentistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/joor.13383

Reference20 articles.

1. Temporomandibular dysfunction

2. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for Clinical and Research Applications: Recommendations of the International RDC/TMD Consortium Network* and Orofacial Pain Special Interest Group†

3. Epidemiology of Signs and Symptoms in Temporomandibular Disorders: Clinical Signs in Cases and Controls

4. Self‐efficacy is associated with pain, functioning, and coping in patients with chronic temporomandibular disorder pain;Brister H;J Orofac Pain,2006

5. Validity of three screening questions (3Q/TMD) in relation to the DC/TMD

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