Explanipedia

RT2C: Predicting Time to New Dental Caries Using a Recurrent Neural Network Model Trained on Multi-Site Longitudinal Structured Dental Data Open

X. Liu, Krishna Kumar Kookal, Ryan Brandon, D. Brad Rindal, Joanna Mullins , et al. · 2025

Dental caries remains one of the most prevalent chronic conditions globally, yet efforts to quantify a patient’s risk of developing new caries over time remain limited. Existing caries risk assessment (CRA) tools are widely used in clinica…

Assessment of two novel methods for detecting non-cavitated, smooth surface enamel lesions: an in vitro study Open

Joel M. White, Pragati Nahar, Puja Kukreti, Jonathan E. Mangum, Ann Solterbeck , et al. · 2025

Correction: Assessment of two methods for detecting carious dentin: an in vitro study Open

Joel M. White, Alfa Yansane, Puja Kukreti, Pragati Nahar, Paolo Orobia , et al. · 2025

Assessment of two methods for detecting carious dentin: an in vitro study Open

Joel M. White, Alfa Yansane, Puja Kukreti, Pragati Nahar, Paolo Orobia , et al. · 2025

Towards a New Industrial Revolution? Entropy and its Challenges Open

Bernard Stiegler, Maël Montévil, Victor Chaix, Marie Chollat-Namy, Joel M. White · 2025

This is a transcribed and translated a podcast of the interview concerning the 1st chapter of the book Biurquer: Il n’y a pas d’alternative [Bifurcate: There Is No Alternative] on the scientific, technological and political stakes of the n…

Assessment of Two Methods for Detecting Carious Dentin: An In Vitro Study Open

Joel M. White, Alfa Yansane, Puja Kukreti, Pragati Nahar, Paolo Orobia , et al. · 2024

Background: The objective of this study was to compare two dentinal caries lesion detector methods, Caries Finder and BlueCheck, to determine if they were substantially equivalent in their ability to aid visualization of demineralized dent…

The burden of diagnostic error in dentistry: A study on periodontal disease misclassification Open

Oluwabunmi Tokede, Alfa Yansane, Ryan Brandon, Guo‐Hao Lin, Chun‐Teh Lee , et al. · 2024

This study sheds light on the significance of diagnostic excellence in the delivery of dental care, and highlights the potential role of technology in aiding diagnostic decision-making at the point of care.

Patient and dentist perspectives on collecting patient reported outcomes after painful dental procedures in the National Dental PBRN Open

Elsbeth Kalenderian, Sayali Tungare, Urvi Mehta, Sharmeen Hamid, Rahma Mungia , et al. · 2024

Quality Measure Adherence and Oral Health Outcomes in Children Open

Sung Eun Choi, Apurvakumar Pandya, Joel M. White, Elizabeth Mertz, Sharon‐Lise T. Normand · 2024

Importance Process-based quality measures are generally intended to promote evidence-based practices that have been proven to improve outcomes. However, due to lack of standardized implementation of diagnostic codes in dentistry, assessing…

Development and validation of a rule‐based algorithm to identify periodontal diagnosis using structured electronic health record data Open

Oluwabunmi Tokede, Ryan Brandon, Chun‐Teh Lee, Guo‐Hao Lin, Joel M. White , et al. · 2024

Aim To develop and validate an automated electronic health record (EHR)‐based algorithm to suggest a periodontal diagnosis based on the 2017 World Workshop on the Classification of Periodontal Diseases and Conditions. Materials and Methods…

Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain Open

Ana Ibarra-Noriega, Alfa Yansane, Joanna Mullins, Kristen Simmons, Nicholas Skourtes , et al. · 2024

Objectives The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the…

Developing and assessing the use of demonstration videos in the preclinical simulation laboratory Open

Rochelle Forni, Mario Gad, Alfa Yansane, Joel M. White · 2023

Purpose This study aims to report the development of a preclinical simulation laboratory Demonstration Video Series (DVS) for the 2021–2022 academic year, measure its usage and usefulness, and compare these findings to the usage and useful…

Learning from data in dentistry: Summary of the third annual <span>OpenWide</span> conference Open

Elsbeth Kalenderian, Kawtar Zouaidi, Jan Yeager, Janelle Urata, Alfa Yansane , et al. · 2023

The overarching goal of the third scientific oral health symposium was to introduce the concept of a learning health system to the dental community and to identify and discuss cutting‐edge research and strategies using data for improving t…

Evaluating the Impact of an mHealth Platform for Managing Acute Postoperative Dental Pain: Randomized Controlled Trial Open

Oluwabunmi Tokede, Alfa Yansane, Ana Ibarra-Noriega, Joanna Mullins, Kristen Simmons , et al. · 2023

Background Postoperative dental pain is pervasive and can affect a patient’s quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient’s experience of pain and usi…

Analysis of Race and Ethnicity, Socioeconomic Factors, and Tooth Decay Among US Children Open

Sung Eun Choi, Joel M. White, Elizabeth Mertz, Sharon‐Lise T. Normand · 2023

Importance While large oral health disparities remain by race and ethnicity among children, the associations of race, ethnicity, and mediating factors with oral health outcomes are poorly characterized. Identifying the pathways that explai…

Evaluating the Impact of an mHealth Platform for Managing Acute Post-Operative Dental Pain: A Randomized Controlled Trial (Preprint) Open

Oluwabunmi Tokede, Alfa Yansane, Ana Ibarra-Noriega, Joanna Mullins, Kristen Simmons , et al. · 2023

BACKGROUND Post-operative dental pain is pervasive and can significantly affect a patient's quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient's experience…

Identifying Contributing Factors Associated With Dental Adverse Events Through a Pragmatic Electronic Health Record–Based Root Cause Analysis Open

Elsbeth Kalenderian, Suhasini Bangar, Alfa Yansane, Duong Thuy Tran, Emily Sedlock , et al. · 2023

Objective This study assessed contributing factors associated with dental adverse events (AEs). Methods Seven electronic health record–based triggers were deployed identifying potential AEs at 2 dental institutions. From 4106 flagged chart…

How does one Cosmotheoretically Respond to the Heat Death of the Universe? Open

Joel M. White · 2023

This article asks what an adequate philosophical response to the certainty of heat death would be: the moment in the timeline of the universe when all possible energy transformations have been actualized and life, thought, and action cease…

Study protocol: understanding pain after dental procedures, an observational study within the National Dental PBRN Open

Elsbeth Kalenderian, Joel M. White, Alfa Yansane, Janelle Urata, David Holmes , et al. · 2022

Development of quality measures to assess tooth decay outcomes from electronic health record data Open

Ryan Brandon, Suhasini Bangar, Alfa Yansane, Ana Neumann, Joanna Mullins , et al. · 2022

Objectives To develop outcomes of care quality measures derived from the dental electronic health record (EHR) to assess the occurrence and timely treatment of tooth decay. Methods Quality measures were developed to assess whether decay wa…

Translating periodontal data to knowledge in a learning health system Open

Oluwabunmi Tokede, Alfa Yansane, Joel M. White, Suhasini Bangar, Joanna Mullins , et al. · 2022

Dental institutions of any size can conduct contemporaneous self-evaluation and immediately implement targeted strategies to improve oral health outcomes.

Building Consensus for a Shared Definition of Adverse Events: A Case Study in the Profession of Dentistry Open

Amy Franklin, Elsbeth Kalenderian, Nutan B. Hebballi, Veronique Delattre, Jini Etoule , et al. · 2022

Background To achieve high-quality health care, adverse events (AEs) must be proactively recognized and mitigated. However, there is often ambiguity in applying guidelines and definitions. We describe the iterative calibration process need…

Development of an Inventory of Dental Harms: Methods and Rationale Open

Elsbeth Kalenderian, Joo Hyun Lee, Enihomo Obadan‐Udoh, Alfa Yansane, Joel M. White , et al. · 2022

Objectives While adverse events (AEs) are all too prevalent, their underlying causes are difficult to assess because they are often multifactorial. Standardizing the language of dental AEs is an important first step toward increasing patie…

A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level Open

Vasant Kearney, Alfa Yansane, Ryan Brandon, Ram Vaderhobli, Guo‐Hao Lin , et al. · 2022

Artificial intelligence was developed and utilized to predict clinical attachment level compared to clinical measurements. A generative adversarial inpainting network with partial convolutions was developed, tested and validated to predict…

BigMouth: development and maintenance of a successful dental data repository. Open

Muhammad F. Walji, Heiko Spallek, Krishna Kumar Kookal, Jane Barrow, Britta Magnuson , et al. · 2022

Few clinical datasets exist in dentistry to conduct secondary research. Hence, a novel dental data repository called BigMouth was developed, which has grown to include 11 academic institutions contributing Electronic Health Record data on …

BigMouth: development and maintenance of a successful dental data repository Open

Muhammad F. Walji, Heiko Spallek, Krishna Kumar Kookal, Jane Barrow, Britta Magnuson , et al. · 2022

Few clinical datasets exist in dentistry to conduct secondary research. Hence, a novel dental data repository called BigMouth was developed, which has grown to include 11 academic institutions contributing Electronic Health Record data on …

Caries Risk Documentation And Prevention: eMeasures For Dental Electronic Health Records Open

Suhasini Bangar, Ana Neumann, Joel M. White, Alfa Yansane, Todd R. Johnson , et al. · 2022

Background Longitudinal patient level data available in the electronic health record (EHR) allows for the development, implementation, and validations of dental quality measures (eMeasures). Objective We report the feasibility and validity…

A Generative Adversarial Inpainting Network to Enhance Prediction of Periodontal Clinical Attachment Level Open

Vasant Kearney, Alfa Yansane, Ryan Brandon, Ram Vaderhobli, Guo‐Hao Lin , et al. · 2021

Deep learning algorithms has recently been used to determine clinical attachment levels (CAL) which aid in the diagnosis of periodontal disease. However, the limited field-of-view of dental bitewing x-rays poses a challenge for convolution…

Assessing the completeness of periodontal disease documentation in the EHR: a first step in measuring the quality of care Open

Joanna Mullins, Alfa Yansane, Shwetha V. Kumar, Suhasini Bangar, Ana Neumann , et al. · 2021

Implementing care coordination in a large dental care organization in the United States by upskilling front office personnel Open

Aubri M. Kottek, Kristin S. Hoeft, Joel M. White, Kristen Simmons, Elizabeth Mertz · 2021

Background Care coordination is a key strategy used to improve health outcomes and efficiency, yet there are limited examples in dentistry. A large dental accountable care organization piloted care coordination by retraining existing admin…

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