Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges

S El-Sappagh, JM Alonso-Moral, T Abuhmed… - Artificial Intelligence …, 2023 - Springer
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Artificial intelligence for sustainable oral healthcare

M Ducret, CM Mörch, T Karteva, J Fisher… - Journal of Dentistry, 2022 - Elsevier
Objectives Oral health is grounded in the United National (UN) 2030 Agenda for Sustainable
Developement and its 17 Goals (SDGs), in particular SDG 3 (Ensure healthy lives and …

[PDF][PDF] Assessment in Mathematics Education in the Sphere of Artificial Intelligence: A Systematic Review on Its Threats and Opportunities

J Luzano - International Journal of Academic Multidisciplinary …, 2024 - researchgate.net
In the contemporary landscape of education, the nexus of mathematics instruction and
artificial intelligence (AI) offers a dynamic sphere of exploration. As technology increasingly …

[HTML][HTML] The new role of the dental assistant and nurse in the age of advanced artificial intelligence in telehealth orthodontic care with dental monitoring: preliminary …

J Surovková, S Haluzová, M Strunga, R Urban… - Applied Sciences, 2023 - mdpi.com
This paper explores the impact of Artificial Intelligence (AI) on the role of dental assistants
and nurses in orthodontic practices, as there is a gap in understanding the currently evolving …

[HTML][HTML] Natural language processing: chances and challenges in dentistry

M Büttner, U Leser, L Schneider, F Schwendicke - Journal of dentistry, 2023 - Elsevier
Introduction: Natural language processing (NLP) is an intersection between Computer
Science and Linguistic which aims to enable machines to process and understand human …

[HTML][HTML] Current Progress and challenges of using artificial intelligence in clinical dentistry—A Narrative review

Z Surlari, DG Budală, CI Lupu, CG Stelea… - Journal of Clinical …, 2023 - mdpi.com
The concept of machines learning and acting like humans is what is meant by the phrase
“artificial intelligence”(AI). Several branches of dentistry are increasingly relying on artificial …

Federated vs local vs central deep learning of tooth segmentation on panoramic radiographs

L Schneider, R Rischke, J Krois, A Krasowski… - Journal of dentistry, 2023 - Elsevier
Abstract Objective Federated Learning (FL) enables collaborative training of artificial
intelligence (AI) models from multiple data sources without directly sharing data. Due to the …

The use of artificial intelligence to aid in oral hygiene education: A scoping review

JRH Tay, NG Ethan, DY Chow, CPC Sim - Journal of Dentistry, 2023 - Elsevier
Objectives Artificial intelligence (AI) has the potential to aid in constant, non-invasive
monitoring of daily oral hygiene practices, potentially on behalf of a dentist or healthcare …

Preinterventional Third-Molar Assessment Using Robust Machine Learning

JS Carvalho, M Lotz, L Rubi, S Unger… - Journal of Dental …, 2023 - journals.sagepub.com
Machine learning (ML) models, especially deep neural networks, are increasingly being
used for the analysis of medical images and as a supporting tool for clinical decision …