Artificial intelligence in dentistry—A review

H Ding, J Wu, W Zhao, JP Matinlinna… - Frontiers in Dental …, 2023 - frontiersin.org
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …

Where is the artificial intelligence applied in dentistry? Systematic review and literature analysis

A Thurzo, W Urbanová, B Novák, L Czako, T Siebert… - Healthcare, 2022 - mdpi.com
This literature research had two main objectives. The first objective was to quantify how
frequently artificial intelligence (AI) was utilized in dental literature from 2011 until 2021. The …

Investigation on the application of artificial intelligence in prosthodontics

AAF Alshadidi, AA Alshahrani, LIN Aldosari… - Applied Sciences, 2023 - mdpi.com
Artificial intelligence (AI) is a contemporary, information-driven innovative technology.
Prosthetic dentistry, also known as prosthodontics, is the restoration and reconstruction of …

Variables influencing the device-dependent approaches in digitally analysing jaw movement—A systematic review

TH Farook, F Rashid, MK Alam, J Dudley - Clinical Oral Investigations, 2023 - Springer
Background To explore the digitisation of jaw movement trajectories through devices and
discuss the physiological factors and device-dependent variables with their subsequent …

Automation and deep (machine) learning in temporomandibular joint disorder radiomics: A systematic review

TH Farook, J Dudley - Journal of Oral Rehabilitation, 2023 - Wiley Online Library
Objective This review aimed to systematically analyse the influence of clinical variables,
diagnostic parameters and the overall image acquisition process on automation and deep …

Periodontal bone loss detection based on hybrid deep learning and machine learning models with a user-friendly application

KM Sunnetci, S Ulukaya, A Alkan - Biomedical Signal Processing and …, 2022 - Elsevier
As artificial intelligence in medical imaging is used to diagnose many diseases, it can also
be employed to diagnose whether a person has periodontal bone loss or not. Accurate and …

Transparency of artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide

J Bernal, C Mazo - Applied Sciences, 2022 - mdpi.com
Although it is widely assumed that Artificial Intelligence (AI) will revolutionise healthcare in
the near future, considerable progress must yet be made in order to gain the trust of …

[HTML][HTML] Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare

G Kleinberg, MJ Diaz, S Batchu… - Journal of biomed …, 2022 - ncbi.nlm.nih.gov
Objective: Clinical applications of machine learning are promising as a tool to improve
patient outcomes through assisting diagnoses, treatment, and analyzing risk factors for …

Clinical machine learning in parafunctional and altered functional occlusion: A systematic review

TH Farook, F Rashid, S Ahmed, J Dudley - The Journal of Prosthetic …, 2023 - Elsevier
Statement of problem The advent of machine learning in the complex subject of occlusal
rehabilitation warrants a thorough investigation into the techniques applied for successful …

A comprehensive review of artificial intelligence based algorithms regarding temporomandibular joint related diseases

S Ozsari, MS Güzel, D Yılmaz, K Kamburoğlu - Diagnostics, 2023 - mdpi.com
Today, with rapid advances in technology, computer-based studies and Artificial Intelligence
(AI) approaches are finding their place in every field, especially in the medical sector, where …