Desmoplastic ameloblastoma (DA) is an epithelial odontogenic tumor and a rare variant of ameloblastoma. It was first described by Eversole in 1984. In the World Health Organization (WHO) classification of odontogenic tumors (2005), DA has been considered as a distinct entity from conventional/multicystic ameloblastoma.
View Article and Find Full Text PDFBackground: Recommender systems have great potential in mental health care to personalize self-guided content for patients, allowing them to supplement their mental health treatment in a scalable way.
Objective: In this paper, we describe and evaluate 2 knowledge-based content recommendation systems as parts of Ginger, an on-demand mental health platform, to bolster engagement in self-guided mental health content.
Methods: We developed two algorithms to provide content recommendations in the Ginger mental health smartphone app: (1) one that uses users' responses to app onboarding questions to recommend content cards and (2) one that uses the semantic similarity between the transcript of a coaching conversation and the description of content cards to make recommendations after every session.
Introduction: Conventional implants have great limitations in case of atrophic maxillary and mandibular ridges. Ultimately, patients who have severely atrophied jawbones paradoxically receive little or no treatment, as long as conventional implants are considered the device of first choice. Basal implants were developed with the goal to overcome the limitations of conventional implantology, primarily for atrophied ridges or inadequate bone with the protocol of immediate loading.
View Article and Find Full Text PDFAnn Maxillofac Surg
June 2020
Introduction: The retromolar fossa is a small triangular area posterolateral to 3rd molar region in the mandible. The retromolar fossa often contains the retromolar foramen (RMF) as an anatomical variant. When the RMF is present, the foramen is connected with the mandibular canal (MC) through another canal known as the retromolar canal (RMC).
View Article and Find Full Text PDFIn this research, we developed a natural language processing (NLP) framework to investigate the opinions on HPV vaccination reflected on Twitter over a 10-year period - 2008-2017. The NLP framework includes sentiment analysis, entity analysis, and artificial intelligence (AI)-based phrase association mining. The sentiment analysis demonstrates the sentiment fluctuation over the past 10 years.
View Article and Find Full Text PDFThere are challenges for analyzing the narrative clinical notes in Electronic Health Records (EHRs) because of their unstructured nature. Mining the associations between the clinical concepts within the clinical notes can support physicians in making decisions, and provide researchers evidence about disease development and treatment. In this paper, in order to model and analyze disease and symptom relationships in the clinical notes, we present a concept association mining framework that is based on word embedding learned through neural networks.
View Article and Find Full Text PDF