AIMC Topic: Oral Health

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Radiomics and Machine Learning in Oral Healthcare.

Proteomics. Clinical applications Jan 29, 2020
The increasing storage of information, data, and forms of knowledge has led to the development of new technologies that can help to accomplish complex tasks in different areas, such as in dentistry. In this context, the role of computational methods,...
Machine Learning Delivery of Health Care Image Processing, Computer-Assisted Humans Oral Health
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Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

JDR clinical and translational research Nov 11, 2019
OBJECTIVES: Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral heal...
Adolescent Child, Preschool Child Machine Learning Algorithms Surveys and Questionnaires Oral Health Bayes Theorem Humans
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Complete rehabilitation of compromised full dentitions with adhesively bonded all-ceramic single-tooth restorations: Long-term outcome in patients with and without amelogenesis imperfecta.

Journal of dentistry Dec 21, 2017
OBJECTIVES: This clinical follow-up evaluated the long-term outcome of full-mouth rehabilitations with adhesively bonded all-ceramic restorations in patients suffering from amelogenesis imperfecta (AI) or affected by extensive tooth wear including a ...
Incisor Periodontal Index Tooth Fractures Middle Aged Time Factors Bruxism Humans Tooth Wear Adult Treatment Outcome Female Dental Restoration Failure Survival Rate Ceramics Young Adult Dental Cements Dental Veneers Male Dental Bonding Dental Marginal Adaptation Dentition Oral Health Dental Porcelain Dental Materials Amelogenesis Imperfecta
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Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

Pediatric dentistry Jan 15, 2024
To systematically evaluate artificial intelligence applications for diagnostic and treatment planning possibilities in pediatric dentistry. PubMed, EMBASE, Scopus, Web of Science, IEEE, medRxiv, arXiv, and Google Scholar were searched using specifi...
Humans Artificial Intelligence Dental Caries Child, Preschool Pediatric Dentistry Child Tooth, Supernumerary Oral Health
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Prediction model of dental caries in 12-year-old children in Sichuan Province based on machine learning.

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology Dec 1, 2023
OBJECTIVES: The machine learning algorithm was used to construct a prediction model of children's dental caries to determine the risk factors of dental caries in children and put forward targeted measures and policy suggestions to improve children's ...
Oral Health Dental Caries Risk Factors Humans Toothbrushing Female China Child
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Promoting the Importance of Recall Visits Among Dental Patients in India Using a Semi-Autonomous AI System.

Studies in health technology and informatics May 16, 2022
In many developing countries like India, there is a widespread lack of general awareness about the importance of good oral health, which causes dental patients to neglect their oral hygiene, thus precipitating many long-term ailments. We developed an...
Stomatognathic Diseases Patient Education as Topic Aftercare Dental Care Humans Machine Learning India Health Promotion Randomized Controlled Trials as Topic Oral Health
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The Future of Dentistry: How AI is Transforming Dental Practices.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995) Jan 1, 2021
Artificial Intelligence (AI) builds upon the digital tools the dental profession has already adopted. It promises to transform the patient journey outlined above and support the quest of the dental community to improve oral health. In this review, we...
Humans Forecasting Artificial Intelligence Oral Health Dentistry
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Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluorescent porphyrin biomarker imaging, clinical examinations and machine lea...
Eye Diseases Optic Nerve Diseases Gingivitis Joints Physical Examination Health Status Oral Health Periodontal Diseases Male Middle Aged Adolescent Aged, 80 and over Young Adult Adult Humans Machine Learning Aged
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Machine Learning to Identify Behavioral Determinants of Oral Health in Inner City Older Hispanic Adults.

Studies in health technology and informatics Jan 1, 2018
We applied machine learning techniques to a community-based behavioral dataset to build prediction models to gain insights about minority dental health and population aging as the foundation for future interventions for urban Hispanics. Our applicati...
Humans Machine Learning Oral Health Self Report Algorithms Hispanic or Latino Aged Middle Aged
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