Insights on artificial intelligence in periodontal disease diagnosis, management, implant therapy, and reinforcing periodontal health: Short comings, concerns, and ethical quandaries DOI

A. Aysha Jebin,

M. L. V. Prabhuji,

Megha Varghese

et al.

Santosh University Journal of Health Sciences, Journal Year: 2024, Volume and Issue: 10(2), P. 269 - 278

Published: July 1, 2024

ABSTRACT Artificial intelligence (AI) is a computer technology that becoming increasingly popular worldwide as high-impact, game-changing innovation, where machines can imitate human actions. AI in the healthcare system evolving dentistry. The primary uses of dentistry include: diagnosis and treatment, patient management, prognosis prediction using key feature mathematical model building administrative activities. life-saving for oral professionals, particularly fields dental implants periodontology. Therefore, we have positive view on development machine learning reduction medical errors, better care, optimization clinical decision making implantology. This review summarizes characteristics model, its use periodontology implant therapy, drawbacks ethical concerns, future perspectives.

Language: Английский

Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations DOI Creative Commons
Colman McGrath,

Cindy Chau,

Gustavo Fabián Molina

et al.

Frontiers in Oral Health, Journal Year: 2025, Volume and Issue: 6

Published: April 14, 2025

Technological innovations in dentistry are revolutionizing the monitoring and management of oral health. This perspective article critically examines rapid expansion remote technologies—including artificial intelligence (AI)-driven diagnostics, electronic health records (EHR), wearable devices, mobile applications, chatbots—and discusses their ethical, legal, social implications. The accelerated adoption these digital tools, particularly wake COVID-19 pandemic, has enhanced accessibility to care while simultaneously raising significant concerns regarding patient consent, data privacy, algorithmic biases. We review current applications ranging from AI-assisted detection dental pathologies blockchain-enabled transfer within EHR systems, highlighting potential for improved diagnostic accuracy risks associated with over-reliance on assessments. Furthermore, we underscore challenges posed by divide, where disparities literacy access may inadvertently exacerbate existing socio-economic inequalities. calls development rigorous implementation ethical frameworks regulatory guidelines that ensure reliability, transparency, accountability innovations. By integrating multidisciplinary insights, our discussion aims foster a balanced approach maximizes clinical benefits emerging technologies safeguarding autonomy promoting equitable healthcare delivery.

Language: Английский

Citations

0
Salivary Biomarkers in the Diagnosis and Prognosis of Oral Disease DOI
Ana Cláudia Garcia Rosa

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Salivary biomarkers have emerged as a noninvasive diagnostic tool for detecting and monitoring various diseases, including oral squamous cell carcinoma (OSCC), periodontal disease (PD), Sjögren’s syndrome (SS), potentially malignant disorders (OPMDs). Advances in salivaomics (including genomics, transcriptomics, proteomics, metabolomics, microbiomics) enabled the identification of disease-specific that reflect pathophysiological changes. Key include cytokines, enzymes, nucleic acids, metabolic markers, microbiome alterations. In OSCC, IL-1α, IL-1β, IL-6, IL-8, TNF-α, VEGF, matrix metalloproteinases (MMP-1 MMP-9), microRNAs, epigenetic markers (MGMT, DAPK1, RASSF1A), (elevated lactic acid, LDH, pipecolinic acid), shifts (F. nucleatum, P.gingivalis) are linked to tumoral initiation progression. OPMDs, elevated MMP-9, oxidative stress (ROS, NO) potential indicators inflammation transformation. PD, MMP-8, RANKL, OPG correlate with severity alveolar bone loss. SS, diverse cytokine profiles immune dysfunction glandular inflammation. Despite technological advancements, challenges remain optimizing point-of-care applications, standardizing biomarker protocols, validating clinical applications. Future research should focus on integrating multiomics technologies AI-driven enhance accuracy, reliability, applicability salivary diagnosing systemic diseases.

Language: Английский

Citations

0
Transforming Growth Factor-β1 and its Soluble Receptor Type 2 in Saliva of Young Adults: Sex-Related Differences and Predictive Modeling of Salivary Concentrations DOI
Marija Milić, Bojan Dželetović,

Biljana Anđelski Radičević

et al.

Archives of Oral Biology, Journal Year: 2025, Volume and Issue: 175, P. 106279 - 106279

Published: May 3, 2025

Language: Английский

Citations

0
The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group DOI Creative Commons

Qingmei Joy Feng,

Molly Harte, Barbara Carey

et al.

Oral Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Abstract As a relatively new tool, the use of artificial intelligence (AI) in medicine and dentistry has potential to significantly transform healthcare sector. AI already demonstrated efficacy medical diagnosis across several specialties, used successfully detect breast, lung skin cancer. In Oral Medicine, may be applied similar fashion, detection oral cancers potentially malignant diseases. Despite its promise as transformative diagnostic aid, presents significant safety, reliability ethical concerns. There is no formal consensus on safe implementation systems settings, but literature converges key principles including transparency, justice fairness, non‐maleficence, responsibility privacy. This article provides narrative review issues surrounding medicine, reflects these, providing view‐points bioethicist Medicine clinicians from units.

Language: Английский

Citations

3
Leveraging artificial intelligence for perioperative cancer risk assessment of oral potentially malignant disorders DOI Creative Commons
John Adeoye, Yu‐Xiong Su

International Journal of Surgery, Journal Year: 2023, Volume and Issue: 110(3), P. 1677 - 1686

Published: Dec. 4, 2023

Oral potentially malignant disorders (OPMDs) are mucosal conditions with an inherent disposition to develop oral squamous cell carcinoma. Surgical management is the most preferred strategy prevent transformation in OPMDs, and surgical approaches treatment include conventional scalpel excision, laser surgery, cryotherapy, photodynamic therapy. However, reality, since all patients OPMDs will not carcinoma their lifetime, there a need stratify according risk of streamline intervention for highest risks. Artificial intelligence (AI) has potential integrate disparate factors influencing robust, precise, personalized cancer stratification OPMD than current methods determine resection, or re-excision. Therefore, this article overviews existing AI models tools, presents clinical implementation pathway, discusses necessary refinements aid application AI-based platforms practice.

Language: Английский

Citations

6
Integration of precision medicine into the dental care setting DOI Creative Commons
Larissa Steigmann, Željka Perić Kačarević, Jessica Khoury

et al.

Frontiers in Dental Medicine, Journal Year: 2024, Volume and Issue: 5

Published: Aug. 21, 2024

This narrative review aims to discuss the incorporation of novel medical concepts and tools into dental practice, with goal improving early diagnosis exploring new personalized treatment options for oral pathologies, such as caries periodontitis. Preventative approaches concentrate on timely detection infections integration biomarker analysis recognize pathogenic changes at stage disease. Likewise, periodic monitoring after is relevant ensure balance in biofilms prevent relapse. Additionally, more attention has shifted towards contributing factors disease development, essential nutrients. Sufficient levels vitamin C, D zinc pre- post-operatively are employed boost immune function reduce risk postoperative infections. Omega-3 fatty acids, melatonin, antioxidants like E, which have anti-inflammatory properties, utilized help minimize excessive inflammation promote faster recovery. The data presented this manuscript emphasize crucial innovative healthcare practices. By adopting a holistic view patient, clinicians can tailor treatments each individual's predispositions, lifestyle, health conditions. also highlights potential salivary biomarkers point-of-care technologies enhancing diagnostic accuracy personalizing treatment. Bridging gap between systemic most effective approach patient quality life. These findings underscore importance continued interdisciplinary collaboration dentistry.

Language: Английский

Citations

1
The Role of Salivary Biomarkers in the Diagnosis of Oral Cancer DOI

Reihaneh Khalilianfard,

Mobina Sadat Zarabadi,

Sahar Hassantash

et al.

Interdisciplinary cancer research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

1
The Role of Oral Biomarkers in the Assessment of Noncommunicable Diseases DOI Creative Commons
Gustavo Sáenz‐Ravello, Marcela Hernández, Mauricio Baeza

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 15(1), P. 78 - 78

Published: Dec. 31, 2024

Background/Objectives: Oral biomarkers have gained attention as non-invasive tools for assessing systemic diseases due to their potential reflect physiological and pathological conditions. This review aims explore the role of oral in diagnosing monitoring diseases, emphasizing diagnostic relevance predictive capabilities clinical practice. Methods: narrative synthesizes current literature on biochemical, immunological, genetic, microbiological biomarkers, with a focus sources, types, applications. Key studies were analyzed identify associations between such cardiovascular type 2 diabetes mellitus, autoimmune disorders, cancers. Results: fluids, including saliva gingival crevicular fluid, contain diverse matrix metalloproteinases, cytokines, genetic indicators. These markers demonstrated Among others, elevated levels salivary glucose inflammatory cytokines correlate progression, while vascular endothelial growth factor (VEGF) C-reactive protein might be applicable indicators periodontal disease risk. Additionally, like amyloid-beta tau are promising detecting neurodegenerative disorders. Conclusions: represent transformative point-of-care approach early management diseases; however, challenges measurement variability, standardization, validation remain.

Language: Английский

Citations

1
Unlocking oral oncology: AI-powered biomarker discovery for early detection DOI Creative Commons

S. Karishma,

A. Saravanan

Oral Oncology Reports, Journal Year: 2024, Volume and Issue: 10, P. 100427 - 100427

Published: April 23, 2024

• Biomarker identification has been essential for early diagnosis of oral cancer. Artificial intelligence provides valuable insight into salivary biomarker discovery. Machine learning algorithms is a sustainable option in proteomic data expression validation. Neural networks prove to be viable method detection and diagnosis.

Language: Английский

Citations

0
SIMPLE EXPRESS ANALYSIS OF FERMENTED BEVERAGES QUALITY DOI Open Access
П. А. Левашов, Sergey Smirnov

Published: April 26, 2024

A simple and rapid method for testing the quality of fermented beverages is demonstrated, based on determination total protein using Coomassie dye comparison absorption spectra samples. The applicability approach analysis red white wine, beer, cider kvass shown. In addition to accurate instrumental characterization samples, this can be adapted qualitative in field or at home.

Language: Английский

Citations

0