Literature DB >> 30202834

Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis.

Mel Mupparapu, Chia-Wei Wu, Yu-Cheng Chen.   

Abstract

Mesh：

Year:  2018        PMID： 30202834     DOI： 10.3290/j.qi.a41107

Source DB:  PubMed          Journal:  Quintessence Int        ISSN： 0033-6572            Impact factor:   1.677


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  8 in total

1.  Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies.

Authors:  Vasilios Alevizakos; Katrin Bekes; Richard Steffen; Constantin von See
Journal:  Clin Oral Investig       Date:  2022-09-06       Impact factor: 3.606

2.  Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey.

Authors:  Jaideep Sur; Sourav Bose; Fatima Khan; Deeplaxmi Dewangan; Ekta Sawriya; Ayesha Roul
Journal:  Imaging Sci Dent       Date:  2020-09-16

3.  Computer tomographic differential diagnosis of ameloblastoma and odontogenic keratocyst: classification using a convolutional neural network.

Authors:  Mayara Simões Bispo; Mário Lúcio Gomes de Queiroz Pierre Júnior; Antônio Lopes Apolinário; Jean Nunes Dos Santos; Braulio Carneiro Junior; Frederico Sampaio Neves; Iêda Crusoé-Rebello
Journal:  Dentomaxillofac Radiol       Date:  2021-04-29       Impact factor: 3.525

Review 4.  An overview of deep learning in the field of dentistry.

Authors:  Jae-Joon Hwang; Yun-Hoa Jung; Bong-Hae Cho; Min-Suk Heo
Journal:  Imaging Sci Dent       Date:  2019-03-25

5.  Predicting all-cause 90-day hospital readmission for dental patients using machine learning methods.

Authors:  Wei Li; Martin S Lipsky; Eric S Hon; Weicong Su; Sharon Su; Yao He; Richard Holubkov; Xiaoming Sheng; Man Hung
Journal:  BDJ Open       Date:  2021-01-22

6.  Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

Authors:  Francesca De Angelis; Nicola Pranno; Alessio Franchina; Stefano Di Carlo; Edoardo Brauner; Agnese Ferri; Gerardo Pellegrino; Emma Grecchi; Funda Goker; Luigi Vito Stefanelli
Journal:  Int J Environ Res Public Health       Date:  2022-02-02       Impact factor: 3.390

7.  Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia.

Authors:  Yabin Liu; Yimin Wang; Ya Shu; Jing Zhu
Journal:  J Healthc Eng       Date:  2021-12-15       Impact factor: 2.682

Review 8.  Artificial Intelligence in Dentistry-Narrative Review.

Authors:  Agata Ossowska; Aida Kusiak; Dariusz Świetlik
Journal:  Int J Environ Res Public Health       Date:  2022-03-15       Impact factor: 3.390
  8 in total

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