Research graph
References from Patient perception of the use of artificial intelligence in dentistry: a systematic review and single-arm meta-analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Artificial intelligence in medicine
10.1016/j.metabol.2017.01.011 · 2017 · External reference
Machine learning: Algorithms, real-world applications and research directions
10.1007/s42979-021-00592-x · 2021 · External reference
Artificial intelligence in endodontics: current applications and future directions
10.1016/j.joen.2021.06.003 · 2021 · External reference
The forthcoming Artificial Intelligence (AI) revolution: its impact on society and firms
10.1016/j.futures.2017.03.006 · 2017 · External reference
Artificial intelligence in medicine
10.1308/147870804290 · 2004 · External reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · 2019 · External reference
Is the fourth industrial revolution a continuation of the third industrial revolution or something new under the sun? Analyzing technological regimes using US patent data
10.1093/icc/dtaa059 · 2021 · External reference
Using a virtual patient via an artificial intelligence chatbot to develop dental students' diagnostic skills
10.3390/ijerph19148735 · 2022 · External reference
Current applications and development of artificial intelligence for digital dental radiography
10.1259/dmfr.20210197 · 2022 · External reference
Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm, J. Periodontal. Implant
2018 · External reference
Accuracy of robot-assisted dental implant surgery and its clinical influencing factors: a retrospective case series of 100 patients
10.1186/s12903-025-06740-6 · 2025 · External reference
Attitudes and perception of artificial intelligence in healthcare: a cross-sectional survey among patients
2022 · External reference
Patient perceptions of artificial intelligence in Otolaryngology—Head and neck surgery: an international Study
10.1177/01455613251351774 · 2025 · External reference
Multinational attitudes toward AI in health care and diagnostics among hospital patients
10.1001/jamanetworkopen.2025.14452 · 2025 · External reference
Patients' perspectives on artificial intelligence in dentistry: a controlled study
10.3390/jcm11082143 · 2022 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.1136/bmj.n71 · 2021 · External reference
The pico strategy for the research question construction and evidence search
2007 · External reference
Rayyan—A web and mobile app for systematic reviews
10.1186/s13643-016-0384-4 · 2016 · External reference
Chapter 7: systematic reviews of etiology and risk
2017 · External reference
Risk-of-bias VISualization (robvis): an R package and shiny web app for visualizing risk-of-bias assessments
10.1002/jrsm.1411 · 2021 · External reference
Artificial intelligence-produced radiographic enhancements in dental clinical care: provider and patient perspectives
10.3389/froh.2025.1473877 · 2025 · External reference
LumiO: a plaque-aware toothbrush
2016 · External reference
Artificial intelligence in Dentistry-A survey
2020 · External reference
Study on patient's awareness towards role of artificial intelligence in dentistry
2019 · External reference
The use of artificial intelligence in dental practice and patients' attitudes towards it
2023 · External reference
Barriers and enablers for artificial intelligence in dental diagnostics: a qualitative study
10.3390/jcm10081612 · 2021 · External reference
Predicting artificial intelligence acceptance in dental treatments among patients in Saudi Arabia: a perceived risks and benefits perspective
10.3390/oral5020028 · 2025 · External reference
Patients' perception of using robotics and artificial intelligence in dentistry: a cross-sectional study
10.2174/0118742106339605240918065914 · 2024 · External reference
Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?
10.1007/s11282-024-00777-z · 2025 · External reference
Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey
10.1186/s13005-023-00368-z · 2023 · External reference
Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists
10.1007/s11282-024-00775-1 · 2025 · External reference
Exploring the awareness and application of artificial intelligence in dentistry: a cross-sectional analysis of dentists and patients
2025 · External reference
Patient perceptions of artificial intelligence in dental imaging diagnostics: a multicentre survey
10.1093/dmfr/twaf018 · 2025 · External reference
Attitudes of dentists and patients towards the introduction of artificial intelligence in dentistry
10.25122/jml-2024-0382 · 2025 · External reference
Perceptiveness and attitude on the use of Artificial Intelligence (AI) in dentistry among dentists and non-dentists - a regional survey
10.4103/jpbs.jpbs_1019_23 · 2024 · External reference
Patients' perceptions toward human–artificial intelligence interaction in health care: experimental study
10.2196/25856 · 2021 · External reference
South Asian patients' perceptions and experiences of compassion in healthcare, ethn
2020 · External reference
Time to regenerate: the doctor in the age of artificial intelligence
10.1177/0141076818762648 · 2018 · External reference
Ethical considerations on artificial intelligence in dentistry: a framework and checklist
10.1016/j.jdent.2023.104593 · 2023 · External reference
Machine learning in medicine: addressing ethical challenges
10.1371/journal.pmed.1002689 · 2018 · External reference
A governance model for the application of AI in health care
10.1093/jamia/ocz192 · 2020 · External reference
Unresolved reference
External reference
Artificial intelligence and health-related data: the patient's best interest and data ownership dilemma
10.1177/09544119241279630 · 2024 · External reference
Why the European AI Act transparency obligation is insufficient
10.1038/s42256-023-00672-y · 2023 · External reference
Diffusion of Innovations 1
2019 · External reference
Sample size calculation in clinical research
10.4103/picr.picr_100_24 · 2024 · External reference
A Survey on the use of artificial intelligence by Clinicians in dentistry and oral and maxillofacial surgery
10.3390/medicina58081059 · 2022 · External reference
