Research graph
References from Diagnostic applications of artificial intelligence in dental care for medically compromised patients: A scoping review. Local targets link to admitted publications; unresolved targets remain external evidence.
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2020 · External reference
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2018 · External reference
Necessity of providing dental care to medically compromised patients in Japan's super-aged society and the way forward
10.1016/j.jdsr.2022.09.002 · 2022 · External reference
The essence of telemedicine for bridging the gap in health services, kesmas: national
2021 · External reference
Deep learning meets machine learning: a synergistic approach towards artificial intelligence
2024 · External reference
Use of artificial intelligence in critical care: opportunities and obstacles
10.1186/s13054-024-04860-z · 2024 · External reference
Multidisciplinary applications of AI in dentistry: bibliometric review
2024 · External reference
What is machine learning, artificial neural networks and deep learning?-examples of practical applications in medicine
10.3390/diagnostics13152582 · 2023 · External reference
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2023 · External reference
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2024 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
External reference
Scoping studies: towards a methodological framework
10.1080/1364557032000119616 · 2005 · External reference
PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation
10.7326/m18-0850 · 2018 · External reference
Best practice guidance and reporting items for the development of scoping review protocols
10.11124/jbies-21-00242 · 2022 · External reference
The development of software to support multiple systematic review types: the Joanna Briggs Institute system for the unified management, assessment and review of information (JBI SUMARI)
2019 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.1136/bmj.n71 · 2021 · External reference
Identifying factors associated with periodontal disease using machine learning
10.4103/jispcd.jispcd_188_22 · 2022 · External reference
Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data
10.3389/frai.2022.979525 · 2022 · External reference
10.1109/embc.2018.8512755
10.1109/embc.2018.8512755 · External reference
Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment
10.1016/j.imu.2019.100254 · 2019 · External reference
Development of a periodontitis risk assessment model for primary care providers in an interdisciplinary setting
10.3233/thc-191642 · 2020 · External reference
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network
10.1259/dmfr.20220135 · 2022 · External reference
Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates
10.1038/s41598-022-10150-x · 2022 · External reference
Fully automated detection of osteoporosis stage on panoramic radiographs using YOLOv5 deep learning model and designing a graphical user interface
10.1007/s40846-023-00831-x · 2023 · External reference
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs
10.1259/dmfr.20220108 · 2022 · External reference
Obstructive sleep apnea, metabolic dysfunction, and periodontitis-machine learning and statistical analyses of the dental, oral, medical epidemiological (DOME) big data study
10.3390/metabo13050595 · 2023 · External reference
Body mass index and caries: machine learning and statistical Analytics of the dental, oral, medical epidemiological (DOME) nationwide big data study
10.3390/metabo13010037 · 2022 · External reference
A multimodal deep learning approach to predicting systemic diseases from oral conditions
10.3390/diagnostics12123192 · 2022 · External reference
Application of artificial intelligence and machine learning for prediction of oral cancer risk
10.1111/jop.13157 · 2021 · External reference
Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study
10.1259/dmfr.20170344 · 2019 · External reference
Identifying medically-compromised patients with periodontitis-associated cardiovascular diseases using convolutional neural network-facilitated multilabel classification of panoramic radiographs
2021 · External reference
Connection between oral health and chronic diseases
10.1002/mco2.70052 · 2025 · External reference
Suboptimal oral health, multimorbidity, and access to dental care
2024 · External reference
A new landscape of human dental aging: causes, consequences, and intervention avenues
2023 · External reference
Age-related oral microbiota dysbiosis and systemic diseases
10.1016/j.micpath.2025.107717 · 2025 · External reference
Mapping review of the correlations between periodontitis, dental caries, and endocarditis
10.3390/dj13050215 · 2025 · External reference
Periodontal disease: a systemic condition
10.1111/prd.12616 · 2024 · External reference
Bidirectional association between periodontal disease and diabetes mellitus: a systematic review and meta-analysis of cohort studies
10.1038/s41598-021-93062-6 · 2021 · External reference
Pathophysiology and treatment of osteoporosis: challenges for clinical practice in older people
10.1007/s40520-021-01817-y · 2021 · External reference
Measuring oral health-How can the International Classification of Functioning help?
10.1111/cdoe.12732 · 2023 · External reference
The implications of artificial intelligence in pedodontics: a scoping review of evidence-based literature
2024 · External reference
Estimation of oral disease burden among older adults in ltc: a scoping review
10.3390/ijerph21030248 · 2024 · External reference
A guide to deep learning in healthcare
10.1038/s41591-018-0316-z · 2019 · External reference
Artificial intelligence in radiology-ethical considerations
10.3390/diagnostics10040231 · 2020 · External reference
Chapter Thirteen - ethical and social issues related to AI in healthcare of chapter
10.1016/bs.mim.2024.05.009 · 2024 · External reference
Artificial intelligence and human trust in healthcare: focus on clinicians
10.2196/15154 · 2020 · External reference
Can cross-sectional studies contribute to causal inference? It depends
10.1093/aje/kwac037 · 2022 · External reference
Social desirability bias in qualitative health research
10.11606/s1518-8787.2022056004164 · 2022 · External reference
Application of artificial intelligence in diagnosis of osteoporosis using medical images: a systematic review and meta-analysis
10.1007/s00198-021-05887-6 · 2021 · External reference
Language restrictions in systematic reviews should not be imposed in the search strategy but in the eligibility criteria if necessary
10.1016/j.jclinepi.2020.12.027 · 2021 · External reference
The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies
10.1017/s0266462312000086 · 2012 · External reference
Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach
10.1186/s12874-018-0611-x · 2018 · External reference
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
10.1016/s2589-7500(19)30123-2 · 2019 · External reference
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
2020 · External reference
A scoping review of scoping reviews: advancing the approach and enhancing the consistency
10.1002/jrsm.1123 · 2014 · External reference
Evidence summaries: the evolution of a rapid review approach
10.1186/2046-4053-1-10 · 2012 · External reference
Canadian association of radiologists white paper on ethical and legal issues related to artificial intelligence in radiology
10.1016/j.carj.2019.03.001 · 2019 · External reference
Unintended consequences of machine learning in medicine
10.1001/jama.2017.7797 · 2017 · External reference
Mitigating bias in machine learning for medicine
10.1038/s43856-021-00028-w · 2021 · External reference
Chapter 12 - ethical and legal challenges of artificial intelligence-driven healthcare of chapter
2020 · External reference
Can AI help reduce disparities in general medical and mental health care?
10.1001/amajethics.2019.167 · 2019 · External reference
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
10.1136/bmjopen-2020-048008 · 2021 · External reference
Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed
10.1038/s41591-019-0603-3 · 2019 · External reference
