Impact of explainable artificial intelligence assistance on clinical decision-making of novice dental clinicians

A Glick, M Clayton, N Angelov, J Chang - JAMIA open, 2022 - academic.oup.com
Objective Despite artificial intelligence (AI) being used increasingly in healthcare,
implementation challenges exist leading to potential biases during the clinical decision …

Dental Education in the Information Age: Teaching Dentistry to Generation Z Learners Using an Autonomous Smart Learning Environment

GKL Rao, N Mokhtar - … of Research on Instructional Technologies in …, 2023 - igi-global.com
An autonomous smart learning environment (ASLE) is a new educational paradigm that
utilizes artificial intelligence and machine learning technologies to provide personalized …

Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey

R Pauwels, YC Del Rey - Dentomaxillofacial Radiology, 2021 - academic.oup.com
Objectives: The aim of this study was to assess the attitude of dentists and dental students in
Brazil regarding the impact of artificial intelligence (AI) in oral radiology, and to evaluate the …

Artificial intelligence in the diagnosis of oral diseases: applications and pitfalls

S Patil, S Albogami, J Hosmani, S Mujoo, MA Kamil… - Diagnostics, 2022 - mdpi.com
Background: Machine learning (ML) is a key component of artificial intelligence (AI). The
terms machine learning, artificial intelligence, and deep learning are erroneously used …

[HTML][HTML] A new era of dental care: harnessing artificial intelligence for better diagnosis and treatment

AM Batra, A Reche - Cureus, 2023 - ncbi.nlm.nih.gov
The integration of artificial intelligence (AI) into dental care holds the promise of
revolutionizing the field by enhancing the accuracy of dental diagnosis and treatment. This …

Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies

SAA Alftaikhah, MK Alam, R Issrani, V Ronsivalle… - Heliyon, 2024 - cell.com
Background In the past, dentistry heavily relied on manual image analysis and diagnostic
procedures, which could be time-consuming and prone to human error. The advent of …

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156

MG Tolsgaard, MV Pusic, SS Sebok-Syer, B Gin… - Medical …, 2023 - Taylor & Francis
Abstract The use of Artificial Intelligence (AI) in medical education has the potential to
facilitate complicated tasks and improve efficiency. For example, AI could help automate …

[HTML][HTML] Performance of generative artificial intelligence in dental licensing examinations

RCW Chau, KM Thu, OY Yu, RTC Hsung… - International Dental …, 2024 - Elsevier
ABSTRACT Objectives Generative artificial intelligence (GenAI), including large language
models (LLMs), has vast potential applications in health care and education. However, it is …

Artificial intelligence for caries detection: randomized trial

S Mertens, J Krois, AG Cantu, LT Arsiwala… - Journal of dentistry, 2021 - Elsevier
Objectives: We aimed to assess the impact of an artificial intelligence (AI)-based diagnostic-
support software for proximal caries detection on bitewing radiographs. Methods: A cluster …

Artificial intelligence and radiology education

AS Tejani, H Elhalawani, L Moy, M Kohli… - Radiology: Artificial …, 2022 - pubs.rsna.org
Implementation of artificial intelligence (AI) applications into clinical practice requires AI-
savvy radiologists to ensure the safe, ethical, and effective use of these systems for patient …