Over the years, various diagnostic aids have been introduced to diagnose even milder forms of periodontitis. Recently, computer aided diagnostic techniques seem to be more reliable and also minimizes the risk of error in diagnosing and monitoring diseases of the oral cavity. Artificial intelligence in dentistry is booming in the field of medicine and dentistry in specific, as it benefits the clinician by simplifying complicated protocols, aids in providing high quality patient care with a predictable outcome. Although novel, Artificial intelligence improves the key parameters and decision-making skills of the operator and enables us with major the advantage of providing the best treatment possible for the patients. Apart from diagnosis it also has various implications in the speciality of medicine and dentistr

[1] Park WJ, Park JB. History and application of artificial neural networks in dentistry. Eur J Dent. 2018;12:594‐601.

[2] Rajaraman V. John McCarthy Father of artificial intelligence. Reson. 2014:198e207

[3] K. Henry, Z. Bao, Methods of fabricating nanoscale-to-microscale structures, US20080038170, 2008.

[4] Thrall JH, Li X, Li Q, et al. Artificial intelligence and machine learning in radiology; oppurtunities, challaneges, pitfalls, and criteria for success J Am Coll Radiol 2018;15;504-508

[5] N. Jain, G.K. Jain, S. Javed, Z. Iqbal, S. Talegaonkar, F.J. Ahmad, et al., Recent approaches for the treatment of periodontitis, Drug Discov. Today 13 (2008) 932 943

[6] Kristine R. Crews. Pharmacogenomics and individualized medicine: Translating science into practice. Clin Pharmacol Ther 2012;92:467–75.

[7] Evans WE, McLeod HL. Pharmacogenomics - drug disposition, drug targets, and side effects. New Engl J Med 2003;348:538-49.

[8] A. Dong, J. Huang, S. Lan, T. Wang, L. Xiao, W. Wang, et al., Synthesis of N-halamine-functionalized silica-polymer core-shell nanoparticles and their enhanced antibacterial activity, Nanotechnology 22 (2011) 19.

[9] Suzuki K. A review of computer-aided diagnosis in thoracic and colonic imaging. Quant Imaging Med Surg 2012;2:163–76

[10]Naranjo J, Poniachik J, Cisco D, et al. Oral Ulcers Produced by Mycophenolate Mofetil in Two Liver Transplant Patients. Transplant Proc. 2007;39(3):612-614. doi:10.1016/j.transproceed.2006.12.028

[11]Evans WE, McLeod HL. Pharmacogenomics - drug disposition, drug targets, and side effects. New Engl J Med 2003;348:538-49.

[12]Hung M, Voss MW, Rosales MN, et al. Application of machine learning for diagnostic prediction of root caries. Gerodontology 2019;36:395e404

[13]Garrigue V.; Canet, S.; Dereure, O.; Panabieres, O.; Augias, D.; Chong, G.; Mourad G. ORAL ULCERATIONS IN A RENAL TRANSPLANT RECIPIENT: A

[14] Stiphout MAE Van, Marinus J, Hilten JJ Van, Lobbezoo F, Baat C De. Oral Health of Parkinson ’ s Disease Patients : A Case-Control Study. 2018;2018.

[15].Garrigue V.; Canet, S.; Dereure, O.; Panabieres, O.; Augias, D.; Chong, G.; Mourad G. ORAL ULCERATIONS IN A RENAL TRANSPLANT RECIPIENT: A

[16]A. Dong, J. Huang, S. Lan, T. Wang, L. Xiao, W. Wang, et al., Synthesis of N-halamine-functionalized silica-polymer core-shell nanoparticles and their enhanced antibacterial activity, Nanotechnology 22 (2011) 19.

[17]Thanathornwong B. Bayesian-based decision support system for assessing the needs for orthodontic treatment. Healthc Inform Res 2018;24:22e8

[18] Yu HJ, Cho SR, Kim MJ, Kim WH, Kim JW, Choi J. Automated skeletal classification with lateral cephalometry based on artificial intelligence. J Dent Res 2020;99:249e56.

[19]S. Nugen, M. Hiorth, M. Rykke, G. Smistad, The potential of liposomes as dental drug delivery systems, Eur. J. Pharm. Biopharm. 77 (2011) 75 83.

[20]Patcas R, Bernini DAJ, Volokitin A, Agustsson E, Rothe R, Timofte R. Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age. Int J Oral Maxillofac Surg 2019;48:77e83