real-time-pcr-quantification-red-complex-bacterial-dna-periodontal

Real-Time PCR Quantification of Red Complex Bacterial DNA and Periodontal Status in Removable Partial Denture Wearers

The insertion of removable partial dentures (RPDs) in the oral cavity is associated with changes in the oral microflora over time. However, there is a ...

University of Prishtina

This pilot study aimed to evaluate red-complex bacteria (RCB) loads in edentulous patients, before and after dentures' insertion.

Evaluation of red-complex bacteria loads in complete denture patients: a pilot study.

Recyclable aligners.

Skin cancer and AI.

Dementia and AI.

FearLess.

Removable dentures and Alzheimer's disease.

Candida and nanorobots.

Early detection of MIH in children by using artificial intelligence.

Artificial intelligence progress in the diagnosis of oral mucosal lesions: implications for pediatric dental health.

MRI in dentistry.

Early diagnosis and prevention of MPOX in children and adolescents during dental care.

3D printing in dentistry: balancing innovation and safety.

Oral frailty and AI.

Correction to: 3D printing in dentistry: balancing innovation and safety.

The future of dentistry through robotics.

Preterm birth and AI.

Early detection of CAC on radiographs using AI.

Oral Cancer Awareness Month in the AI era.

The future of oral cancer care through AI-powered clinics.

AI-driven dental information.

Objective Artificial intelligence (AI) is transforming healthcare by significantly enhancing diagnostic capabilities across various disciplines. This review explores AI's potential to support dentists in identifying systemic diseases and conditions, such as skin cancer, autism spectrum disorder, hypertension, diabetes, halitosis, osteoporosis and carotid artery calcification, during routine dental care. It highlights the role of AI-based technologies in early detection and improved patient outcomes.Methods A literature search was conducted via PubMed, Google Scholar and an extensive hand search. Eligible publications were those that reported on novel AI applications for early systemic disease detection and which could be employed in the dental setting. Three researchers independently conducted research for relevant literature and extracted the data. Studies were included in consensus.Results In total, 42 eligible articles were included and their findings were summarised. Applications included AI-driven image analysis for skin cancer and tongue colour changes in diabetes, breath analysis for halitosis-linked conditions, and radiographic detection of calcifications and osteoporosis. The reviewed studies demonstrated that AI exhibits significant potential in improving diagnostic accuracy for systemic diseases observable during dental examinations, enabling timely referrals and interventions and improved healthcare integration.Conclusion The findings suggest that AI can assist dentists in identifying systemic diseases beyond oral health concerns. Integrating AI-driven diagnostic tools into routine dental care has the potential to enhance early detection of systemic conditions, reducing the burden on healthcare systems and improving patient outcomes. While the results are promising, further research is needed to refine AI technologies and validate their clinical utility. AI should be seen as a complementary tool, augmenting but not replacing the expertise of dental and medical professionals.

The potential of artificial intelligence in the early detection of systemic diseases during routine dental care.

The Convergence of Artificial Intelligence and the Internet of Things in Dentistry and Medicine.

Article	Year
Evaluation of red-complex bacteria loads in complete denture patients: a pilot study. BDJ open\| PubMed ID: 36801907	2023
Recyclable aligners. British dental journal\| PubMed ID: 38459292	2024
Skin cancer and AI. British dental journal\| PubMed ID: 38671091	2024
Dementia and AI. British dental journal\| PubMed ID: 38730140	2024
FearLess. British dental journal\| PubMed ID: 38789731	2024
Removable dentures and Alzheimer's disease. British dental journal\| PubMed ID: 38997346	2024
Candida and nanorobots. British dental journal\| PubMed ID: 39060572	2024
Early detection of MIH in children by using artificial intelligence. European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry\| PubMed ID: 39090506	2024
Artificial intelligence progress in the diagnosis of oral mucosal lesions: implications for pediatric dental health. European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry\| PubMed ID: 39254786	2024
MRI in dentistry. British dental journal\| PubMed ID: 39271849	2024
Early diagnosis and prevention of MPOX in children and adolescents during dental care. European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry\| PubMed ID: 39432212	2025
3D printing in dentistry: balancing innovation and safety. British dental journal\| PubMed ID: 39516592	2024
Oral frailty and AI. British dental journal\| PubMed ID: 39572793	2024
Correction to: 3D printing in dentistry: balancing innovation and safety. British dental journal\| PubMed ID: 39572836	2024
The future of dentistry through robotics. British dental journal\| PubMed ID: 39856273	2025
Preterm birth and AI. British dental journal\| PubMed ID: 40021851	2025
Early detection of CAC on radiographs using AI. British dental journal\| PubMed ID: 40217008	2025
Oral Cancer Awareness Month in the AI era. British dental journal\| PubMed ID: 40410454	2025
The future of oral cancer care through AI-powered clinics. British dental journal\| PubMed ID: 40579497	2025
AI-driven dental information. British dental journal\| PubMed ID: 40781397	2025
The potential of artificial intelligence in the early detection of systemic diseases during routine dental care. British dental journal\| PubMed ID: 40781417	2025
The Convergence of Artificial Intelligence and the Internet of Things in Dentistry and Medicine. British journal of hospital medicine (London, England : 2005)\| PubMed ID: 40847968	2025

Enis Veseli

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