S. Arami , M. Tavassoty Kheiri , R. Bashar , Ma. Nadali ,
Volume 19, Issue 1 (3 2006)
Abstract
Background and Aim: Infection control is an important issue in dentistry. Without an efficient infection control, pathogens left on instruments and working surfaces will have potential danger to patients’ health. In this research, antiviral effect of three disinfectants: 0.5% sodium hypochlorite 0.05% sodium hypochlorite and Deconex 50 AF, on HBV was investigated.
Materials and Methods: In this interventional (before-after) study serums of 26 HBV positive patients were analyzed by PCR HBV analysis and 9 contaminated species were obtained to test three disinfectants. 36 agar plates were prepared with the contaminated serums. 27 of the plates were disinfected in 3 separate groups with the above mentioned solutions. Nine remaining plates were not disinfected (control). Swabs wetted by BSAS (Bovine Serum Albumin Sodium Chloride) medium were applied on the surface of the plates and the were kept in the transferred medium and sent to virology-lab of Pasteur Institute. HBV DNA were detected by commercial kit of HBV PCR (polymerase chain reaction) method. Data were analyzed by Cochrane test with p<0.05 as the limit of significance.
Results: None of samples disinfected with 0.5% sodium hypochlorite showed contamination. 11/1% of samples disinfected with 0.05% sodium hypochlorite and 44/4% of samples disinfected with Deconex 50 AF remained contaminated. Statistical analysis showed a significant difference between 0.5% sodium hypochlorite and the other groups.
Conclusion: Our findings revealed that 0.5% sodium hypochlorite solution is a strong and efficient disinfectant against HBV. Key Words: HBV Sodium hypochlorite
S. Arami , M. Tavassoti Kheiri , M. Hasani Tabayabaie , E. Yasini , A. Pahlavan , M. Ghavam , M. Mirzaie , H. Kermanshah , Sh. Forootan , S. Ahrabi , M. Tabatabaian , L. Mahrokh ,
Volume 20, Issue 4 (5 2008)
Abstract
Background and Aim: The efficiency of disinfecting materials and procedures in removal of contamination from dental surfaces and equipments is essential. In authors' previous study, daily use of 2:100 dilution of 5% sodium hypochlorite in water and disposable covers were recommended since HBV contamination was found on semi-critical parts of the operative dentistry department. The aim of this study was to evaluate the HBV contamination following application of the recommended procedures.
Materials and Methods: The study was conducted in two parts. In the first cross-sectional part, samples were collected from 17 sites of dental surfaces. In the second interventional part samples were collected from 10 sites of 9 dental and 3 sites of 2 light cure units, before and after disinfection with 5% sodium hypochlorite solution diluted to 2:100. Sterile cotton swabs moistened with sterile BSAS (Bovine Serum Albumin in Sodium Chloride) solution were used for sampling. Samples were tested by PCR technique in Pasteur Institute, Iran.
Results: None of the samples collected in the first part of the study showed contamination. In the second part of the study, from 96 samples taken from various parts of dental and light cure units, before and after disinfection, there was only one HBV contaminated site before disinfection which showed no contamination after disinfection.
Conclusion: Based on the results of this study, disinfecting procedure with 5% sodium hypochlorite solution diluted to 2:100 along with using disposable covers is effective in preventing HBV contamination.
Bita Kheiri, Mona Fazel Ghaziani,
Volume 39, Issue 0 (3-2026)
Abstract
Background and Aims: In recent years, the use of artificial intelligence (AI) has become increasingly common in dentistry because it facilitates the process of diagnosis and clinical decision-making. It is necessary for dentists to be aware of the advantages and disadvantages of artificial intelligence before implementing it. The present study aimed to comprehensively review the various applications of artificial intelligence in the diagnosis of dental diseases along with its challenges and disadvantages.
Materials and Methods: For this review article, a complete search was conducted on the PubMed and Google Scholar databases and studies published in recent years as well as studies published in 2024 were collected using the keywords "artificial intelligence," "dentistry," "diagnosis." Finally, the relevant articles were selected and evaluated, focusing on artificial intelligence in dentistry and the diagnosis of dental diseases.
Results: Advances in artificial intelligence in dental imaging, particularly through machine learning (ML) and artificial neural networks (ANN), have dramatically transformed the way dental disease is diagnosed. These technologies help dentists to analyze complex information and produce more accurate results by using algorithms that allow systems to learn and respond to data. The most recent development in this area is deep learning (DL), which uses multiple layers of neural networks to process unlabeled data and predict outcomes. These techniques are used in various fields such as diagnostic imaging, periodontology, dental caries detection, and osteoporosis screening, which help to improve the quality of dental services. Despite the benefits of AI in clinical dentistry, three controversial challenges remain and need to be addressed: ease of use, return on investment, and evidence of performance, or reliability.
Conclusion: Based on the results, the most important advantage of AI is the diagnosis of dental diseases. AI has great potential to reduce the pressure on health systems by automating routine tasks and improving patient care. However, this technology can never replace human expertise and must be guided by ethical principles. Ultimately, AI is recognized as a valuable tool in dentistry and the final decision-making always remains with the dentist.
