scholarly journals The Learning Curve of Artificial Intelligence for Dental Implant Treatment Planning: A Descriptive Study

2021 ◽  
Vol 11 (21) ◽  
pp. 10159
Author(s):  
Pathompong Roongruangsilp ◽  
Pathawee Khongkhunthian
Keyword(s):  
Artificial Intelligence ◽  
Learning Curve ◽  
Dental Implant ◽  
Data Augmentation ◽  
Data Sets ◽  
Panoramic Image ◽  
Training Set ◽  
Cross Sectional ◽  
Augmentation Techniques ◽  
Implant Dentistry

Introduction: Cone-beam computed tomography (CBCT) has been applied to implant dentistry. The increasing use of this technology produces a critical number of images that can be used for training artificial intelligence (AI). Objectives: To investigate the learning curve of the developed AI for dental implant planning in the posterior maxillary region. Methods: A total of 184 CBCT image sets of patients receiving posterior maxillary implants were processed with software (DentiPlan Pro version 3.7; NECTEC, NSTDA, Thailand) to acquire 316 implant position images. The planning software image interfaces were anonymously captured with full-screen resolution. Three hundred images were randomly sorted to create six data sets, including 1–50, 1–100, 1–150, 1–200, 1–250, and 1–300. The data sets were used to develop AI for dental implant planning through the IBM PowerAI Vision platform (IBM Thailand Co., Ltd., Bangkok, Thailand) by using a faster R-CNN algorithm. Four data augmentation algorithms, including blur, sharpen, color, and noise, were also integrated to observe the improvement of the model. After the testing process with 16 images that were not included in the training set, the recorded data were analyzed for detection and accuracy to generate the learning curve of the model. Results: The learning curve revealed some similar patterns. The curve trend of the original and blurred augmented models was in a similar pattern in the panoramic image. In the last training set, the blurred augmented model improved the detection by 12.50%, but showed less accuracy than the original model by 18.34%, whereas the other three augmented models had different patterns. They were continuously increasing in both detection and accuracy. However, their detection dropped in the last training set. The colored augmented model demonstrated the best improvement with 40% for the panoramic image and 18.59% for the cross-sectional image. Conclusion: Within the limitation of the study, it may be concluded that the number of images used in AI development is positively related to the AI interpretation. The data augmentation techniques to improve the ability of AI are still questionable.

scholarly journals Dental Implants and General Dental Practitioners of Nepal: A study of existing knowledge and need for further education

2017 ◽  
Vol 13 (1) ◽  
pp. 212-215 ◽  
Author(s):  
Bhageshwar Dhami ◽  
Priti Shrestha ◽  
Bikash Lamichhane ◽  
Anuj Kumar Sharma ◽  
Sujaya Gupta
Keyword(s):  
Dental Implants ◽  
Dental Implant ◽  
Further Education ◽  
Basic Knowledge ◽  
Cross Sectional ◽  
Doctoral Level ◽  
Adequate Knowledge ◽  
Dental Practitioners ◽  
Implant Dentistry ◽  
Edentulous Patients

Background & Objectives: The use of dental implants in partially or completely edentulous patients has proved effective and an accepted treatment modality with predictable long-term success. Dental implants are becoming a popular choice for replacing the missing teeth because of increased awareness about implants both in dentists and patients. The objective of the study was to assess the basic knowledge and education about dental implants among general dental practitioners (GDPs) of Nepal.Materials & Methods:  A cross sectional questionnaire was carried out among 110 GDPs which consist of twenty questions that were divided into three categories; first with some basic knowledge in implant dentistry, second with clinical knowledge of dental implants and third with dental implant education and training.Results: Out of 110 GDPs, 72.7% had basic knowledge about implant dentistry and 65.5% were not aware about advance surgical procedures like sinus lift and guided bone regeneration. All the GDPs were positive regarding more training and education in dental implants and 95.5% of them would like to incorporate dental implant treatment in their practice in future. Conclusion: GDPs should have adequate knowledge and training of dental implants which can be incorporated at undergraduate or post doctoral level so that they are skilled to provide quality dental implant therapy to their patients confidently.

scholarly journals Jazz Bass Transcription Using a U-Net Architecture

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 670
Author(s):  
Jakob Abeßer ◽  
Meinard Müller
Keyword(s):  
Network Architecture ◽  
Data Augmentation ◽  
Neural Network Architecture ◽  
Training Set ◽  
Pitch Estimation ◽  
Jazz Ensemble ◽  
Percentage Points ◽  
Augmentation Strategy ◽  
Augmentation Techniques ◽  
Validation Set

In this paper, we adapt a recently proposed U-net deep neural network architecture from melody to bass transcription. We investigate pitch shifting and random equalization as data augmentation techniques. In a parameter importance study, we study the influence of the skip connection strategy between the encoder and decoder layers, the data augmentation strategy, as well as of the overall model capacity on the system’s performance. Using a training set that covers various music genres and a validation set that includes jazz ensemble recordings, we obtain the best transcription performance for a downscaled version of the reference algorithm combined with skip connections that transfer intermediate activations between the encoder and decoder. The U-net based method outperforms previous knowledge-driven and data-driven bass transcription algorithms by around five percentage points in overall accuracy. In addition to a pitch estimation improvement, the voicing estimation performance is clearly enhanced.

scholarly journals Current trends in dental implant practice among dentists in Nepal

2021 ◽  
Vol 4 (1) ◽  
pp. 11-19
Author(s):  
S Vaidya ◽  
J Rajkarnikar ◽  
SB Rana ◽  
A Bhochhibhoya ◽  
A Khapung
Keyword(s):  
Dental Implants ◽  
Dental Implant ◽  
Continuing Professional Development ◽  
Cross Sectional ◽  
Online Study ◽  
Current Trends ◽  
Bone Level ◽  
Oral Fixation ◽  
Implant Dentistry ◽  
Study Participants

Introduction: Implant dentistry is one of the fastest growing specialty in the field in dentistry. Yet there is a paucity of literature regarding the prevalence and the current trends of implant dentistry practice among dentists working in Nepal. Thus, the objective of this study was to assess the prevalence and current trends of dental implants practice among the dentists working in Nepal. Method: A cross sectional, online study was done among 267 Nepalese dentists from October, 2020 to December, 2020 by convenience sampling method. Data collection was done with the help of a proforma that included socio-demographic details and predesigned questionnaire adopted from a study done in Mumbai, India.13 The questions were developed in google form and shared to the study participants through various social media for the study duration of 3 months. Results: Out of 267 participants, 142 (53.2%) were BDS, 107 (40.1%) were MDS and remaining had other degrees. Of the total participants, only 83 (31.1%) placed dental implants in their practice. Those who did not place dental implants referred the case mostly to periodontist (51.1%), followed by prosthodontist (34.8%). Only 72 (26.9%) had undergone formal implant training program. All the study participants prescribed radiograph as CBCT alone or in combination with the other radiographs. Most of the participants, who placed dental implant, did both the surgical and the prosthodontic phases. Bone level implants (74.7%), Screw retained (50.6%) and extra oral fixation (50.6%) type prosthetics were used by most of the participants. Most frequently used implant systems were Bredent (46.9%), Nobel Biocare (46.9%) and Straumann (46.9%) followed by Adin (44.5%). Conclusion: The current study showed that dental implants practice is adopted by less than one third of the dentists in Nepal, that suggests the need for implementation of Continuing Professional Development in dental implants in Nepal to increase the knowledge and skills among dental professionals.

scholarly journals Mass agnostic jet taggers

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Layne Bradshaw ◽  
Rashmish K. Mishra ◽  
Andrea Mitridate ◽  
Bryan Ostdiek
Keyword(s):  
Data Augmentation ◽  
Large Data ◽  
New Physics ◽  
Large Data Sets ◽  
Data Sets ◽  
Training Procedure ◽  
Signal Identification ◽  
Training Techniques ◽  
Quantitative Metrics ◽  
Augmentation Techniques

Searching for new physics in large data sets needs a balance between two competing effects—signal identification vs background distortion. In this work, we perform a systematic study of both single variable and multivariate jet tagging methods that aim for this balance. The methods preserve the shape of the background distribution by either augmenting the training procedure or the data itself. Multiple quantitative metrics to compare the methods are considered, for tagging 2-, 3-, or 4-prong jets from the QCD background. This is the first study to show that the data augmentation techniques of Planing and PCA based scaling deliver similar performance as the augmented training techniques of Adversarial NN and uBoost, but are both easier to implement and computationally cheaper.

scholarly journals Recent Data Augmentation Strategies for Deep Learning in Plant Phenotyping and Their Significance

2020 ◽  
Author(s):  
Douglas Pinto Sampaio Gomes ◽  
Lihong Zheng
Keyword(s):  
Deep Learning ◽  
Data Augmentation ◽  
Plant Traits ◽  
Synthetic Data ◽  
Plant Phenotyping ◽  
Data Sets ◽  
Data Set ◽  
Augmentation Strategies ◽  
Augmentation Techniques ◽  
Benchmark Solutions

Plant phenotyping concerns the study of plant traits resulted from their interaction with their environment. Computer vision (CV) techniques represent promising, non-invasive approaches for related tasks such as leaf counting, defining leaf area, and tracking plant growth. Between potential CV techniques, deep learning has been prevalent in the last couple of years. Such an increase in interest happened mainly due to the release of a data set containing rosette plants that defined objective metrics to benchmark solutions. This paper discusses an interesting aspect of the recent best-performing works in this field: the fact that their main contribution comes from novel data augmentation techniques, rather than model improvements. Moreover, experiments are set to highlight the significance of data augmentation practices for limited data sets with narrow distributions. This paper intends to review the ingenious techniques to generate synthetic data to augment training and display evidence of their potential importance.

scholarly journals Dental implant practice in French West Indies and French Guyana: a cross-sectional study among dental practitioners

2018 ◽  
Vol 24 (4) ◽  
pp. 157-162
Author(s):  
Floriane Dulin ◽  
Jean-Marie Marteau ◽  
Jean-Christophe Fricain ◽  
Mathilde Fénelon
Keyword(s):  
Dental Implant ◽  
West Indies ◽  
Cross Sectional Study ◽  
International Studies ◽  
Sectional Study ◽  
French West Indies ◽  
Cross Sectional ◽  
Dental Practitioners ◽  
French Guyana ◽  
Implant Dentistry

Background: In 2016, 459 dentists were registered in French West Indies and French Guyana. They represent 10% of French clinicians but they work in an environment very different from continental France. The aim of this study was to describe dental implantology practices among dentists in Guadeloupe, Martinique, and French Guyana. Materials and methods: A cross-sectional study, with questionnaires sent by email, was conducted from November 2016 to January 2017. Results: 116 practitioners answered. Respondents were all general practitioners, except two dentists who practiced only surgical procedures (not specialists). Implant surgeries were provided by 50% respondents and soft-tissue or hard-tissue grafting were provided by 34.5% of the sample. Prosthodontic procedures were carried out by 62.9% respondents. At last, 34.5% of the sample were not involved in implant services. Discussion: The proportion of dentists who performed implant procedures was similar to that reported in other international studies and French survey. The percentage of dentists not involved in implant dentistry still significant and the most frequently reported barriers were the expense of treatment, patient's difficulties to afford the treatment and the lack of knowledge. Conclusion: The practice of implant dentistry is widespread in French West Indies and French Guyana. Dental implant use was not different between clinicians of Guadeloupe, Martinique, and French Guyana. The number of dentists who received local implant training was lower in French Guyana.

scholarly journals Contemporary Trends Regarding Knowledge And Practices Of Dental Implants Among Dental Interns Working In Educational Institutes Of Karachi, Pakistan

2019 ◽  
Vol 10 (1) ◽  
pp. 35-39
Author(s):  
Muhammad Farhan Khan ◽  
Fatima Naseem A Khan ◽  
Irfan Ali ◽  
Muhammad Rashid Ahmed ◽  
Rubab Jawed ◽  
...  
Keyword(s):  
Dental Implants ◽  
Dental Implant ◽  
Cross Sectional Study ◽  
Private Institutions ◽  
Cross Sectional ◽  
Public And Private ◽  
Undergraduate Level ◽  
Adequate Knowledge ◽  
Implant Dentistry ◽  
Measuring Tool

Aim: The aim of this study was to assess the information about dental implants among dental interns and to relate their perception of future dental implant practice. Study Design and Setting: A cross-sectional study was conducted on dental interns of various dental teaching colleges of Karachi including public and private institutions. Methodology: The instrument used was a self-administered, structured, closed-ended questionnaire which was modified measuring tool for the dental interns’ knowledge and perception towards implant dentistry. The data collected from the study was analyzed using SPSS. Results: Two hundred and seventy dental interns of 5 different colleges of Karachi filled a questionnaire about the knowledge and future perception of dental implant practice in general dentistry. It was observed that majority of the dental interns 44.2% did not have adequate knowledge of dental implant and 87.6% encourage to improving the undergraduate syllabus of dental implants. Conclusion: This study showed limited knowledge and awareness about dental implants among dental interns, but they highly encouraged in improving the curriculum of dental implants at undergraduate level

scholarly journals Counterexample-Guided Data Augmentation

2018 ◽  
Author(s):  
Tommaso Dreossi ◽  
Shromona Ghosh ◽  
Xiangyu Yue ◽  
Kurt Keutzer ◽  
Alberto Sangiovanni-Vincentelli ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Data Structure ◽  
Object Detection ◽  
Deep Neural Networks ◽  
Data Augmentation ◽  
Autonomous Driving ◽  
Data Sets ◽  
Augmentation Techniques

We present a novel framework for augmenting data sets for machine learning based on counterexamples. Counterexamples are misclassified examples that have important properties for retraining and improving the model. Key components of our framework include a \textit{counterexample generator}, which produces data items that are misclassified by the model and error tables, a novel data structure that stores information pertaining to misclassifications. Error tables can be used to explain the model's vulnerabilities and are used to efficiently generate counterexamples for augmentation. We show the efficacy of the proposed framework by comparing it to classical augmentation techniques on a case study of object detection in autonomous driving based on deep neural networks.

Sign in / Sign up

Export Citation Format

Share Document