Artificial intelligence in dentistry
Abstract
The brain, one of the most intriguing and complex organs in the human body, has always been a subject of curiosity and exploration for scientists and researchers. Despite many attempts. the scientific community has not been able to develop a perfect model that replicates the human brain [1]. For decades, scientists have been striving to advance the field of 'artificial intelligence'1 (Al), which was first proposed by John McCarthy in 1956 as a branch of applied computer science [2.3]. Al is sometimes also referred to as machine intelligence [2]. Al is considered to be the "fourth industrial revolution", as it uses computer technology to emulate cognitive processes, decision-making, and intelligent behavior that are similar to those of humans [3].
Source type:
Journals
Years of coverage from
2020
inLibrary
Google Scholar
Issue:
Branch of knowledge
Downloads
Download data is not yet available.
To share
Nigmatov, R., Ruziev, S., Nigmatova, N., Xanova, D., & Saydiganiev, S. (2024). Artificial intelligence in dentistry. in Library, 1(1), 58–61. Retrieved from https://www.inlibrary.uz/index.php/archive/article/view/45209
-
Modern methods of dermatoglyphics and iridodiagnostics in forensic medicine in identifying and assessing suidcidal tendencies
in Library: No. 1 (2019) / A Shamsieva, Sh Ruziev, Dilafruz Buranova,
-
Prevalence of dental system anomalies and speech disorders in children bite of tashkent city
in Library: No. 4 (2018) / I Nigmatova, R Nigmatov, F Inogomova,
-
Оптимизация методов диагностики иортодонтического лечения у детей с глубоким прикусом
in Library: No. 2 (2023) / Rakhmatulla Nigmatov, D Khanova,
-
Диагностика и ортодонтическое лечение детей с глубоким прикусом
in Library: No. 2 (2024) / D Hanova, Rakhmatulla Nigmatov, S Bakhshillaeva,
-
Диагностика открытого прикуса у детей со сменным прикусом
in Library: No. 4 (2023) / R Nigmatov, M Aralov, F Shamukhamedova, I Nigmatova,
-
Исследование выносливости пародонта зубов при частичных дефектах зубного ряда
in Library: No. 3 (1998) / S Zufarov, R Nigmatov, N Khabibov,
-
Технологии приготовления и применения материала Easy Graft в лечении дефектов костной ткани в реабилитации стоматологических больных
in Library: No. 1 (2020) / Rakhmatulla Nigmatov, N Nigmatova, A Shterenberg, R Kholmurzaev,
-
Chaynov tishlari distalizatsiyasi uchun mikroimplantlar
in Library: No. 4 (2024) / Rakhmatulla Nigmatov, I Nigmatova, S Saydiganiev, B Batirov, R Tuychiev,
-
Совершенствование диагностики и ортодонтического лечения детей с перекрестной окклюзией
in Library: No. 3 (2023) / R Nigmatov, K Akbarov, S Murtazaev, I Nigmatova, J Kadyrov,
-
Состояние слизистой оболочки полости рта у больных с гипертонической болезнью
in Library: No. 4 (2001) / R Nigmatov, G Kalmenova,
Abstract
The brain, one of the most intriguing and complex organs in the human body, has always been a subject of curiosity and exploration for scientists and researchers. Despite many attempts. the scientific community has not been able to develop a perfect model that replicates the human brain [1]. For decades, scientists have been striving to advance the field of 'artificial intelligence'1 (Al), which was first proposed by John McCarthy in 1956 as a branch of applied computer science [2.3]. Al is sometimes also referred to as machine intelligence [2]. Al is considered to be the "fourth industrial revolution", as it uses computer technology to emulate cognitive processes, decision-making, and intelligent behavior that are similar to those of humans [3].
References
Artificial Intelligence in Dentistry: Current Concepts and a Peep Into the Future Alexander B. JohnS. Int J Adv Res. 2018;30:1105-1108.
Present and future of artificial intelligence in dentistry. Tandon D. Rajawat J. J Oral Biol Craniofac Res. 2020;10:391-396.
Artificial intelligence in endodontics: Current applications and future directions. Aminoshariae A. Kulild I Nagendrababu V. J Endod. 2021;47:1352-1357.
Artificial intelligence in dentistry. Deshniukh S. J Int Clin Dent Res Organ 2018;10:47.
Application and perfonnance of artificial intelligence technology in oral cancer diagnosis and prediction of prognosis: A systematic review Khanagar SB, Naik S, Al Kheraif AA, et al. Diagnostics (Basel) 2021; 11
Effectiveness of artificial intelligence applications designed for endodontic diagnosis, decision-making, and prediction of prognosis: A systematic review. Boreak N. J Conteinp Dent Pract. 2020;30:926-934.
Use of artificial intelligence in dentistry: Current clinical trends and research advances. Nguyen TT. Larrivee N. Lee A. Bilaniuk O. Durand R_ J Can Dent Assoc. 2021;87:0.
Artificial intelligence in dentistry. Meghil MM, Rajpurohit P. Awad ME. McKee J. Shahoumi LA. Ghaly M. Dent Rev: 2022;2:100009.
