Artificial Intelligence: Demystifying Dentistry – The Future and Beyond

A plethora of advancements in the field of technology during the last few decades have integrated these technological advancements in our day to day life. Artificial intelligence (AI) is a field of engineering science dealing with the computational understanding and ability of the computers to mimic human brain to exhibit an intelligent behaviour to perform the tasks effortlessly. It has begun to establish itself even into the field of dentistry and medicine. Right from data acquisition to even performing virtual surgeries were made possible with the introduction of virtual reality in the medicine and dentistry. The need for proper documentation of the patient’s information, quick and reliable treatment protocols throughrobotics in the field of surgery has encouraged the use of these software technologies in assisting the dentist to diagnose and treat the patients efficiently. However, this technological advancement is still in the stages of infancy and this article is an attempt to highlight the role of artificial intelligence in dentistry.

[1]  S. N. Kohail,et al.  Using artificial neural network for human age estimation based on facial images , 2012, 2012 International Conference on Innovations in Information Technology (IIT).

[2]  Supattra Plermkamon,et al.  Performance of an artificial neural network for vertical root fracture detection: an ex vivo study. , 2013, Dental traumatology : official publication of International Association for Dental Traumatology.

[3]  J. Borbély,et al.  Comparison of the accuracy of direct and indirect three-dimensional digitizing processes for CAD/CAM systems - An in vitro study. , 2017, Journal of prosthodontic research.

[4]  Mohd Dom Rosma The Use of Artificial Intelligence to Identify People at Risk of Oral Cancer : Empirical Evidence in Malaysian University , 2010 .

[5]  Andreas Pommert,et al.  Virtual dental surgery as a new educational tool in dental school. , 2010, Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery.

[6]  T Roma Jasinevicius,et al.  Virtual reality distraction for pain control during periodontal scaling and root planing procedures. , 2009, Journal of the American Dental Association.

[7]  W Schmitt [Artificial intelligence in dentistry]. , 1990, Zahnarztliche Mitteilungen.

[8]  M. Downer,et al.  Opportunistic screening for oral cancer and precancer in general dental practice: results of a demonstration study , 2003, British Dental Journal.

[9]  J. H. Sims-Williams,et al.  A computer-controlled expert system for orthodontic advice , 1987, British Dental Journal.

[10]  G. Widmann Biij Biomedical Imaging and Intervention Journal Image-guided Surgery and Medical Robotics in the Cranial Area , 2022 .

[11]  M R Brickley,et al.  Neural networks: a new technique for development of decision support systems in dentistry. , 1998, Journal of dentistry.

[12]  Heidi B. Aaronson,et al.  Dental impressions using 3D digital scanners: virtual becomes reality. , 2008, Compendium of continuing education in dentistry.

[13]  Naveen Chauhan,et al.  Feature Line Profile Based Automatic Detection of Dental Caries in Bitewing Radiography , 2016, 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE).

[14]  Emilio Corchado,et al.  Applying soft computing techniques to optimise a dental milling process , 2013, Neurocomputing.

[15]  M A Saghiri,et al.  A new approach for locating the minor apical foramen using an artificial neural network. , 2012, International endodontic journal.

[16]  B. Baş,et al.  Use of artificial neural network in differentiation of subgroups of temporomandibular internal derangements: a preliminary study. , 2012, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[17]  K. A. Eaton,et al.  A description of the new technologies used in transforming dental education , 2008, BDJ.

[18]  K. Devito,et al.  An artificial multilayer perceptron neural network for diagnosis of proximal dental caries. , 2008, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[19]  Shinichi Yamada,et al.  CAD/CAM fabrication and clinical application of surgical template and bone model in oral implant surgery. , 2009, Clinical oral implants research.

[20]  N Mackin,et al.  Artificial intelligence in the dental surgery: an orthodontic expert system, a dental tool of tomorrow. , 1991, Dental update.

[21]  Masaomi Ikeda,et al.  Evaluation of a virtual reality simulation system for porcelain fused to metal crown preparation at Tokyo Medical and Dental University. , 2013, Journal of dental education.

[22]  James J. Yoo,et al.  Bioprinting technology and its applications. , 2014, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[23]  A. Karch,et al.  CADDIE2—evaluation of a clinical decision-support system for early detection of systemic inflammatory response syndrome in paediatric intensive care: study protocol for a diagnostic study , 2019, BMJ Open.

[24]  M. Strauss,et al.  Evaluation of the accuracy of three different computer-aided surgery systems in dental implantology: optical tracking vs. stereolithographic splint systems. , 2008, Clinical oral implants research.

[25]  R. Annigeri,et al.  Artificial intelligence: A dentist's perspective , 2018 .