Keywords
Artificial Intelligence in Periodontics - Boon or a bane?
Abstract
Artificial Intelligence in Periodontics - Boon or a bane?
References
Ramani S, Vijayalakshmi R, Mahendra J, Burnice Nalin Kumari C, Ravi N. Artificial intelligence in periodontics-An overview. IP Int J Periodontol Implantol. 2023;8(2):71-4.
Leroy R, Eaton KA, Savage A. Methodological issues in epidemiological studies of periodontitis-how can it be improved? BMC Oral Health. 2010;10:1-7.
Chapple IL, Wilson NH. Manifesto for a paradigm shift: periodontal health for a better life. Br Dent J. 2014;216(4):159-62.
Moutinho RP, Coelho L, Silva A, Lobo Pereira JA, Pinto M, Baptista IP. Validation of a dental image‐analyzer tool to measure the radiographic defect angle of the intrabony defect in periodontitis patients. J Periodontal Res. 2012 Dec;47(6):695-700.
Lee JH, Kim DH, Jeong SN, Choi SH. Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm. J Periodontal Implant Sci. 2018;48(2):114-23.
Nakhleh MK, Quatredeniers M, Haick H. Detection of halitosis in breath: Between the past, present, and future. Oral Dis. 2018;24(5):685-95.
Papantonopoulos G, Takahashi K, Bountis T, Loos BG. Artificial neural networks for the diagnosis of aggressive periodontitis trained by immunologic parameters. PloS One. 2014;9(3):e89757.
Chawla RL, Gadge NP, Ronad S, Waghmare A, Patil A, Deshmukh G, Deshmukh GS. Knowledge, attitude and perception regarding artificial intelligence in periodontology: a questionnaire study. Cureus. 2023;15(11):e48309.
Leroy R, Eaton KA, Savage A. Methodological issues in epidemiological studies of periodontitis-how can it be improved? BMC Oral Health. 2010;10:1-7.
Chapple IL, Wilson NH. Manifesto for a paradigm shift: periodontal health for a better life. Br Dent J. 2014;216(4):159-62.
Moutinho RP, Coelho L, Silva A, Lobo Pereira JA, Pinto M, Baptista IP. Validation of a dental image‐analyzer tool to measure the radiographic defect angle of the intrabony defect in periodontitis patients. J Periodontal Res. 2012 Dec;47(6):695-700.
Lee JH, Kim DH, Jeong SN, Choi SH. Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm. J Periodontal Implant Sci. 2018;48(2):114-23.
Nakhleh MK, Quatredeniers M, Haick H. Detection of halitosis in breath: Between the past, present, and future. Oral Dis. 2018;24(5):685-95.
Papantonopoulos G, Takahashi K, Bountis T, Loos BG. Artificial neural networks for the diagnosis of aggressive periodontitis trained by immunologic parameters. PloS One. 2014;9(3):e89757.
Chawla RL, Gadge NP, Ronad S, Waghmare A, Patil A, Deshmukh G, Deshmukh GS. Knowledge, attitude and perception regarding artificial intelligence in periodontology: a questionnaire study. Cureus. 2023;15(11):e48309.