Role of robotics and artificial intelligence in oral health education. Knowledge, perception and attitude of dentists in India.

BACKGROUND: Artificial intelligence or AI may be identified as the use of Personal Computers and/or machines in performing certain specific types of tasks that usually have the requirement of humanized knowledge. These specific tasks include acknowledgment of the problem, understanding disease dynamics, and determining the clinical diagnosis. MATERIALS AND METHODS: This cross-sectional and prospective study was conducted on Dental professionals who were practicing all across India after obtaining approval from the Institutional Ethical Board. A previously validated as well as pre-analyzed questionnaire form was distributed using electronic mail and through the use of social media with a briefly explained description of the study purpose and an informed consent form. The study questionnaire comprised "close-ended" queries that were then divided into foursections. All the study participants were then instructed to select any one option among all the provided answers. The entire study was completed within one month. Collected observations were entered within a Microsoft Excel 2007® master chart. Statistical analytical software tool SPSS version 20.0, IBM Corporation was employed. "Chi-square" test was performed for evaluating statistical association. A P value lesser than 0.05 was fixed with statistical significance. RESULTS: On analyzing the level of knowledge, 82.5% of subjects had knowledge of artificial intelligence while 11.4% had no knowledge and 6.1% had some knowledge of this tool. 69.1% were knowledgeable regarding the use of AI in lesional diagnosis, 12.8% had no knowledge regarding artificial intelligence for the diagnosis and 18.1% had no knowledge regarding AI in the diagnosis. 71% had knowledge concerning the use of AI for Imaging. Knowledge of AI in Oral Hygiene was seen in 54.3%. 91.2% of participants had knowledge of robotics use in Oral Surgery. 77% of dentists had knowledge regarding the use of AI for the enhancement of clinical practice. 95.5% had a higher 'positive' attitude toward the use of AI in academics. 69.1% of dentists had a positive attitude regarding AI incorporation in practice. 5% of dentists considered artificial intelligence better than human intelligence for diagnosis. 10% believed that disparities can exist between AI-based and human diagnosis. CONCLUSION: Positive correlations were noted between knowledge, attitude, and practice of AI among studied dentists.

A Cross-Sectional Study of Serum Glutathione Peroxidase: An Antioxidative Marker in Chronic Periodontitis and Chronic Kidney Disease.

BACKGROUND AND AIM: Oxidative stress as an individual risk for periodontitis and chronic kidney disease (CKD) has been elaborated through various mechanical pathways, yet its role in association with both diseases remains unexplored. Thus, the current study aims in evaluating serum glutathione peroxidase, an oxidative stress marker in CKD patients with periodontitis, and compare it with the healthy controls. METHODOLOGY: One hundred and twenty subjects were divided into four groups as control (C=30 subjects), periodontitis and non-CKD patients (CP=30 patients), non-periodontitis and CKD patients (CKD=30 patients), and periodontitis and CKD patients (CKD+CP=30 patients). Demographic variables, periodontal parameters, such as plaque index (PI), gingival index (GI), probing pocket depth (PPD), percentage proportion of sites with probing pocket depth more than 5 mm, clinical attachment loss (CAL), percentage proportion of sites with clinical attachment loss more than 3 mm and serum stress marker, and glutathione peroxidase were compared between the groups and the results were statistically analyzed. RESULTS: The demographic variables did not differ significantly between the groups, except for age. The means PI, GI, PPD, percentage proportion of sites with probing pocket depth more than 5 mm, CAL, percentage proportion of sites with clinical attachment loss were higher in CKD+CP. The glutathione peroxidase was significantly higher in CP group (p=0.001) and significantly correlated with periodontal parameters. CONCLUSION: The oxidative stress marker glutathione peroxidase was higher in CP, followed by the CKD groups. This could pave a strong link of oxidative stress as a risk factor for chronic periodontitis, as well as chronic kidney disease.

A convolutional neural-network framework for modelling auditory sensory cells and synapses.

In classical computational neuroscience, analytical model descriptions are derived from neuronal recordings to mimic the underlying biological system. These neuronal models are typically slow to compute and cannot be integrated within large-scale neuronal simulation frameworks. We present a hybrid, machine-learning and computational-neuroscience approach that transforms analytical models of sensory neurons and synapses into deep-neural-network (DNN) neuronal units with the same biophysical properties. Our DNN-model architecture comprises parallel and differentiable equations that can be used for backpropagation in neuro-engineering applications, and offers a simulation run-time improvement factor of 70 and 280 on CPU or GPU systems respectively. We focussed our development on auditory neurons and synapses, and show that our DNN-model architecture can be extended to a variety of existing analytical models. We describe how our approach for auditory models can be applied to other neuron and synapse types to help accelerate the development of large-scale brain networks and DNN-based treatments of the pathological system.

A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications.

Auditory models are commonly used as feature extractors for automatic speech-recognition systems or as front-ends for robotics, machine-hearing and hearing-aid applications. Although auditory models can capture the biophysical and nonlinear properties of human hearing in great detail, these biophysical models are computationally expensive and cannot be used in real-time applications. We present a hybrid approach where convolutional neural networks are combined with computational neuroscience to yield a real-time end-to-end model for human cochlear mechanics, including level-dependent filter tuning (CoNNear). The CoNNear model was trained on acoustic speech material and its performance and applicability were evaluated using (unseen) sound stimuli commonly employed in cochlear mechanics research. The CoNNear model accurately simulates human cochlear frequency selectivity and its dependence on sound intensity, an essential quality for robust speech intelligibility at negative speech-to-background-noise ratios. The CoNNear architecture is based on parallel and differentiable computations and has the power to achieve real-time human performance. These unique CoNNear features will enable the next generation of human-like machine-hearing applications.

Calciphylaxis and its diagnosis: A review.

Calciphylaxis also known as Calcific uremic arteriolopathy (CUA), is a rare fatal complication usually associated with end-stage renal disease (ESRD). It is characterized by skin ulceration and necrosis leading to significant pain. The disease calciphylaxis is pathological state resulting in accumulation of calcium content in medial wall of small blood vessels along with the fibrotic changes in intima. The aetiopathogenesis of this disease, small vessel vasculopathy, remains complicated, and unclear. It is believed that development of calciphylaxis depends on medial calcification, intimal fibrosis of arterioles and thrombotic occlusion. The disease is rare, life-threatening medical condition that occurs mostly in population with kidney disease or in patients on dialysis. Skin biopsy and radiographic features are helpful in the diagnosis of calciphylaxis, but negative results do not necessarily exclude the diagnosis. This article highlights steps undertaking in the diagnosis of calciphylaxis.

Dentin dysplasia Type I: A rare case report.

Dentin dysplasia (DD) is an uncommon developmental disturbance affecting dentin, resulting in enamel with atypical dentin formation and abnormal pulpal morphology. Type I (radicular) and Type II (coronal) are the two types of DD. Type I is more common, and both types include single or multiple teeth in primary and permanent dentition. Combinations of both types have also been described in literature. Four distinct forms of Type I and one form of Type II were identified. This case report documents one such rarity of DD in an 11-year-old female with clinical and radiographical findings and management aspects.

Inflammation and cancer.

Inflammation is often associated with the development and progression of cancer. The cells responsible for cancer-associated inflammation are genetically stable and thus are not subjected to rapid emergence of drug resistance; therefore, the targeting of inflammation represents an attractive strategy both for cancer prevention and for cancer therapy. Tumor-extrinsic inflammation is caused by many factors, including bacterial and viral infections, autoimmune diseases, obesity, tobacco smoking, asbestos exposure, and excessive alcohol consumption, all of which increase cancer risk and stimulate malignant progression. In contrast, cancer-intrinsic or cancer-elicited inflammation can be triggered by cancer-initiating mutations and can contribute to malignant progression through the recruitment and activation of inflammatory cells. Both extrinsic and intrinsic inflammations can result in immunosuppression, thereby providing a preferred background for tumor development. The current review provides a link between inflammation and cancer development.

Résumé L'inflammation est souvent associée au développement et à la progression du cancer. Les cellules responsables de l'inflammation associée au cancer sont génétiquement stables et ne subissent donc pas l'émergence rapide d'une pharmacorésistance; par conséquent, le ciblage de l'inflammation représente une stratégie attrayante à la fois pour la prévention du cancer et pour le traitement du cancer. L'inflammation tumorale extrinsèque est causée par de nombreux facteurs, notamment: infections bactériennes et virales, maladies auto-immunes, obésité, tabagisme, exposition à l'amiante et consommation excessive d'alcool, le tout qui augmentent le risque de cancer et stimulent la progression maligne. En revanche, l'inflammation intrinsèque au cancer ou provoquée par le cancer peut être déclenchée par des mutations initiant un cancer et peuvent contribuer à la progression maligne par le recrutement et l'activation de cellules inflammatoires. Tous les deux les inflammations extrinsèques et intrinsèques peuvent entraîner une immunosuppression, fournissant ainsi un fond préféré pour le développement de la tumeur. le l'examen actuel établit un lien entre l'inflammation et le développement du cancer.

Evaluation of Effectiveness of Two Different Endodontic Retreatment Systems in Removal of Gutta-percha: An in vitro Study.

AIM: To determine the effectiveness of two different endodontic retreatment systems for the removal of laterally compacted gutta-percha (GP). MATERIALS AND METHODS: Sixty-three freshly extracted human maxillary central incisors were used for the study. The teeth were instrumented with K-flex files and obturated using lateral condensation technique with GP and AH Plus sealer. The teeth were divided into three retreatment groups, each group consisting of 21 teeth. Group I: D-RaCe desobturation files (D-RaCe); group II: ProTaper Universal retreatment files (PTUR); group III: Hedstrom files (H-file). After removal of GP, the teeth were split longitudinally and divided into three equal parts: Cervical, middle, and apical third. The middle and apical thirds of all root halves were examined using scanning electron microscope (SEM). The total surface area covered by the residual debris was evaluated using Motic Image plus 2.0 software. Statistical analysis was done by one-way analysis of variance (ANOVA) test with a p-value <0.05 used to determine significance and Tukey's multiple post hoc tests used for comparison between the groups, and 't' test was done for comparison between the thirds within the same group. RESULTS: The PTUR retreatment files showed overall better performance compared with D-RaCe files and H-files. The PTUR files performed better at middle third compared with others. The PTUR files and D-RaCe files performed equally at apical third better than H-files. CONCLUSION: ProTaper retreatment files are better compared with D-RaCe files and H-files for the retreatment of the previously endodontically treated teeth. CLINICAL SIGNIFICANCE: Highest efficacy for the removal of GP was shown by ProTaper Universal System followed by D-RaCe and H-file.

Antimicrobial effects of Citrus sinensis peel extracts against dental caries bacteria: An in vitro study.

BACKGROUND: Ethnomedicine is gaining admiration since years but still there is abundant medicinal flora which is unrevealed through research. The study was conducted to assess the in vitro antimicrobial potential and also determine the minimum inhibitory concentration (MIC) of Citrus sinensis peel extracts with a view of searching a novel extract as a remedy for dental caries pathogens. MATERIAL AND METHODS: Aqueous and ethanol (cold and hot) extracts prepared from peel of Citrus sinensis were screened for in vitro antimicrobial activity against Streptococcus mutans and Lactobacillus acidophilus, using agar well diffusion method. The lowest concentration of every extract considered as the minimal inhibitory concentration (MIC) values were determined for both test organisms. One way ANOVA with Post Hoc Bonferroni test was applied for statistical analysis. Confidence level and level of significance were set at 95% and 5% respectively. RESULTS: Dental caries pathogens were inhibited most by hot ethanolic extract of Citrus sinensispeel followed by cold ethanolic extract. Aqueous extracts were effective at very high concentrations. Minimum inhibitory concentration of hot and cold ethanolic extracts of Citrus sinensis peel ranged between 12-15 mg/ml against both the dental caries pathogens. CONCLUSIONS: Citrus sinensispeels extract was found to be effective against dental caries pathogens and contain compounds with therapeutic potential. Nevertheless, clinical trials on the effect of these plants are essential before advocating large-scale therapy. KEY WORDS: Agar well diffusion, antimicrobial activity, dental caries, Streptococcus mutans, Lactobacillus acidophilus.