Search Results (14)

Background: This study aims to determine a generalized outcome and risk profile for patients undergoing orthognathic surgery for the definitive treatment of cleft lip and palate. Furthermore, we hope to determine the key risk factors that cause increased risk for cleft lip and palate patients undergoing orthognathic surgery. Methods: This study includes a systematic review using PubMed, MEDLINE, Cochrane, and Scopus. Data curation utilized Covidence software, with dual-reviewer screening and conflict resolution by a third party, focusing on publications with the full texts available. Results: The initial search yielded 1697 articles. Following title, abstract, and full-text screening, a total of 62 articles were included in this review. A total of 70.9% of included articles had moderate bias, with the rest having low risk of bias. The sample consisted of 2550 patients with an average age of about 20 years and an average follow-up of 16.8 months. The most employed procedure was Le Fort I osteotomy (99%). In terms of velopharyngeal function, there were notable increases in insufficiency and severity scores, with an average 63% worsening score from the baseline. That being said, patients experienced an average 33% improvement in speech articulation. Furthermore, the average horizontal movement was reported to be 6.09 mm with a subsequent relapse of 0.98 mm overall. Conclusions: This systematic review distills data from 62 articles and 2550 patients. It highlights the efficacy of orthognathic surgery in addressing oropharyngeal and aesthetic deficits. This study identifies relapse and velopharyngeal insufficiency as recurrent complications. These insights inform surgical refinement and patient counseling, laying a foundation for enhanced clinical protocols. Full article

Advancements in technology that can reshape educational paradigms, with Extended Reality (XR) have a pivotal role. This paper introduces an interactive XR intelligent assistant featuring a virtual teacher that interacts dynamically with PowerPoint presentations using OpenAI’s ChatGPT API. The system incorporates Azure Cognitive Services for multilingual speech-to-text and text-to-speech capabilities, custom lip-syncing solutions, eye gaze, head rotation and gestures. Additionally, panoramic images can be used as a sky box giving the illusion that the AI assistant is located at another location. Findings from three pilots indicate that the proposed technology has a lot of potential to be used as an additional tool for enhancing the learning process. However, special care must be taken into privacy and ethical issues. Full article

(1) Background: Cleft lip, alveolus, and palate are the most common congenital abnormalities in the world, occurring in one in seven hundred live births. Secondary alveolar bone grafting (SABG) is usually performed when the permanent canine root shows one-half to two-thirds of root development. To improve the surgical outcome, supplemental grafting materials such as platelet-rich fibrin (PRF) and platelet-rich plasma (PRP) have been used as an adjunct. This review is designed to assess the efficacy of PRF and PRP in improving the outcome of SABG. (2) Methods: A comprehensive literature search was performed until 13 October 2022 on MEDLINE, EMBASE, The Cochrane Library, and Pubmed. The full text of potentially relevant studies was reviewed, and only randomised clinical trials (RCTs) were included based on the inclusion criteria. (3) Results: A total of 656 studies were screened, of which four were included for final review. All of the four included studies that evaluated the quantitative or qualitative surgical outcome in varied ways. (4) Conclusions: Results of this review suggest that both PRF or PRP and control group (without the use of PRF/PRP) achieved similar successful outcomes in bone height, bone density, and bone volume in both qualitative and quantitative assessment. Full article

In this article, we present a novel approach for emotional speech lip-reading (EMOLIPS). This two-level approach to emotional speech to text recognition based on visual data processing is motivated by human perception and the recent developments in multimodal deep learning. The proposed approach uses visual speech data to determine the type of speech emotion. The speech data are then processed using one of the emotional lip-reading models trained from scratch. This essentially resolves the multi-emotional lip-reading issue associated with most real-life scenarios. We implemented these models as a combination of EMO-3DCNN-GRU architecture for emotion recognition and 3DCNN-BiLSTM architecture for automatic lip-reading. We evaluated the models on the CREMA-D and RAVDESS emotional speech corpora. In addition, this article provides a detailed review of recent advances in automated lip-reading and emotion recognition that have been developed over the last 5 years (2018–2023). In comparison to existing research, we mainly focus on the valuable progress brought with the introduction of deep learning to the field and skip the description of traditional approaches. The EMOLIPS approach significantly improves the state-of-the-art accuracy for phrase recognition due to considering emotional features of the pronounced audio-visual speech up to 91.9% and 90.9% for RAVDESS and CREMA-D, respectively. Moreover, we present an extensive experimental investigation that demonstrates how different emotions (happiness, anger, disgust, fear, sadness, and neutral), valence (positive, neutral, and negative) and binary (emotional and neutral) affect automatic lip-reading. Full article

The aim of this systematic review is to describe and identify the prospects of β-Tricalcium Phosphate (β-TCP) as an alveolar bone grafting (ABG) material in cleft lip/palate (CL/P) or alveolar bone cleft defects. A systematic review protocol based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA 2020) was drafted. The literature search was conducted using MEDLINE/PubMed, Web of Science/ISI Web of Knowledge, Scopus, and the Cochrane Library, with English as the inclusion criterion and no publication year limits. The keywords yielded a total of 5824 publications. After removing duplicates and non-English articles, there were 3196 suitable articles available for evaluation. Subsequently, 1315 studies remained after reviewing titles and abstracts. Furthermore, 85 full articles were assessed for eligibility. After reading the complete texts of those papers, 20 were eventually selected that matched the inclusion requirements. Thirteen out of the twenty studies included in this systematic review were deemed to have a low risk of bias; one had a high risk of bias; and six had a moderate risk of bias due to not reporting randomization. β-TCP, when used as an ABG material, is biocompatible, visible, practical, offers a less invasive procedure, and does not interfere with orthodontic treatment. Synthetic β-TCP for ABG can be an alternative to autologous bone grafts under certain terms and conditions. The efficacy of β-TCP for ABG in CL/P or alveolar bone cleft defects can be enhanced through a tissue engineering approach that combines β-TCP with growth factors, mesenchymal stem cells, or other graft materials, along with modifications to β-TCP’s physical properties. Full article

This umbrella review aimed to determine the effectiveness of nonpharmacological interventions in pulmonary ventilation and their impact on respiratory function. An individual with impaired ventilation displays visible variations manifested in their respiratory frequency, breathing rhythm ratio (I:E), thoracic symmetry, use of accessory muscles, dyspnea (feeling short of breath), oxygen saturation, diaphragm mobility, minute ventilation, peak flow, walking test, spirometry, Pimax/Pemax, diffusion, and respiratory muscle strength. Any variation in these markers demands the need for interventions in order to duly manage the signs and symptoms and to improve ventilation. Method: Systematic reviews of the literature published in English, Spanish, French, and Portuguese were used, which included studies in which nonpharmacological interventions were used as a response to impaired ventilation in adults in any given context of the clinical practice. The recommendations given by the Joanna Briggs Institute (JBI) for umbrella reviews were followed. This research took place in several databases such as MEDLINE, CINAHL Complete, CINHAL, MedicLatina, ERIC, Cochrane Reviews (Embase), and PubMed. The Joanna Briggs critical analysis verification list was used for the systematic review. The data extraction was performed independently by two investigators based on the data extraction tools of the Joanna Briggs Institute, and the data were presented in a summary table alongside the support text. Results: Forty-four systematic reviews, thirty randomized clinical essays, and fourteen observational studies were included in this review. The number of participants varied between n = 103 and n = 13,370. Fifteen systematic revisions evaluated the effect of isolated respiratory muscular training; six systematic revisions evaluated, in isolation, breathing control (relaxed breathing, pursed-lip breathing, and diaphragmatic breathing exercises) and thoracic expansion exercises; and one systematic review evaluated, in isolation, the positions that optimize ventilation. Nineteen systematic reviews with combined interventions that reinforced the role of education and capacitation while also aiming for their success were considered. The articles analyzed isolated interventions and presented their efficacy. The interventions based on respiratory exercises and respiratory muscular training were the most common, and one article mentioned the efficacy of positioning in the compromisation of ventilation. Combined interventions in which the educational component was included were found to be effective in improving pulmonary function, diffusion, oxygenation, and functional capacity. The outcomes used in each study were variable, leading to a more difficult analysis of the data. Conclusions: The interventions that were the focus of the review were duly mapped. The results suggest that nonpharmacological interventions used to optimize ventilation are effective, with a moderate to high level of evidence. There is a strong foundation for the use of the chosen interventions. The lack of studies on the intervention of “positioning to optimize ventilation” points out the need for a deeper analysis of its effects and for studies with a clear focus. This study supports the decisions and recommendations for the prescription of these interventions to patients with impaired ventilation. Full article

Lipreading refers to the task of decoding the text content of a speaker based on visual information about the movement of the speaker’s lips. With the development of deep learning in recent years, lipreading has attracted extensive research. However, the deep learning method requires a lot of computing resources, which is not conducive to the migration of the system to edge devices. Inspired by the work of Spiking Neural Networks (SNNs) in recognizing human actions and gestures, we propose a lipreading system based on SNNs. Specifically, we construct the front-end feature extractor of the system using Liquid State Machine (LSM). On the other hand, a heuristic algorithm is used to select appropriate parameters for the classifier in the backend. On small-scale lipreading datasets, our recognition accuracy achieves good results. We claim that our network performs better in terms of accuracy and ratio of learned parameters compared to other networks, and has superior advantages in terms of network complexity and training cost. On the AVLetters dataset, our model achieves a 5% improvement in accuracy over traditional methods and a 90% reduction in parameters over the state-of-the-art. Full article

Objective: The objective of this systematic review was (a) to explore the current clinical applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis and treatment prediction in children with CLP (Cleft lip and palate), (b) to create a qualitative summary of results of the studies retrieved. Materials and methods: An electronic search was carried out using databases such as PubMed, Scopus, and the Web of Science Core Collection. Two reviewers searched the databases separately and concurrently. The initial search was conducted on 6 July 2021. The publishing period was unrestricted; however, the search was limited to articles involving human participants and published in English. Combinations of Medical Subject Headings (MeSH) phrases and free text terms were used as search keywords in each database. The following data was taken from the methods and results sections of the selected papers: The amount of AI training datasets utilized to train the intelligent system, as well as their conditional properties; Unilateral CLP, Bilateral CLP, Unilateral Cleft lip and alveolus, Unilateral cleft lip, Hypernasality, Dental characteristics, and sagittal jaw relationship in children with CLP are among the problems studied. Results: Based on the predefined search strings with accompanying database keywords, a total of 44 articles were found in Scopus, PubMed, and Web of Science search results. After reading the full articles, 12 papers were included for systematic analysis. Conclusions: Artificial intelligence provides an advanced technology that can be employed in AI-enabled computerized programming software for accurate landmark detection, rapid digital cephalometric analysis, clinical decision-making, and treatment prediction. In children with corrected unilateral cleft lip and palate, ML can help detect cephalometric predictors of future need for orthognathic surgery. Full article

The task of converting text input into video content is becoming an important topic for synthetic media generation. Several methods have been proposed with some of them reaching close-to-natural performances in constrained tasks. In this paper, we tackle a subissue of the text-to-video generation problem, by converting the text into lip landmarks. However, we do this using a modular, controllable system architecture and evaluate each of its individual components. Our system, entitled FlexLip, is split into two separate modules: text-to-speech and speech-to-lip, both having underlying controllable deep neural network architectures. This modularity enables the easy replacement of each of its components, while also ensuring the fast adaptation to new speaker identities by disentangling or projecting the input features. We show that by using as little as 20 min of data for the audio generation component, and as little as 5 min for the speech-to-lip component, the objective measures of the generated lip landmarks are comparable with those obtained when using a larger set of training samples. We also introduce a series of objective evaluation measures over the complete flow of our system by taking into consideration several aspects of the data and system configuration. These aspects pertain to the quality and amount of training data, the use of pretrained models, and the data contained therein, as well as the identity of the target speaker; with regard to the latter, we show that we can perform zero-shot lip adaptation to an unseen identity by simply updating the shape of the lips in our model. Full article

The aim of this systematic review was to examine the association between malnutrition and oral health in older people (≥ 60 years of age). A comprehensive systematic literature search was performed in four databases (PubMed, CINAHL, Dentistry and Oral Sciences Source, and Embase) for literature from January 2000 to May 2020. Both observational and intervention studies were screened for eligibility. Two reviewers independently screened the search results to identify potential eligible studies, and assessed the methodological quality of the full-text studies. A total of 3240 potential studies were identified. After judgement for relevance, 10 studies (cross-sectional (n = 9), prospective cohort (n = 1)) met the inclusion criteria. Three studies described malnourished participants as having fewer teeth, or functional (tooth) units (FTUs), compared to well-nourished participants. Four studies reported soft tissue problems in malnourished participants, including red tongue with blisters, and dry or cracked lips. Subjective oral health was the topic in six studies, with poorer oral health and negative self-perception of oral health in malnourished elderly participants. There are associations between (at risk of) malnutrition and oral health in older people, categorized in hard and soft tissue conditions of the mouth, and subjective oral health. Future research should be focused on longitudinal cohort studies with proper determination of malnutrition and oral health assessments, in order to evaluate the actual association between malnutrition and oral health in older people. Full article

This paper studies complex narratives connecting the Hindu deity Krishna, his melodious flute, and the porous, sonic human body in the popular devotional sect, Bengal Vaishnavism. From the devotee–lover responding to Krishna’s flute call outside, envying the flute’s privileged position on Krishna’s lips, to becoming the deity’s flute through yogic breath–sound fusions—texts abound with nuanced relations of equivalence and differentiation among the devotee–flute–god. Based primarily on readings of Hindu religious texts, and fieldwork in Bengal among makers/players of the bamboo flute, the paper analyses theological constructions correlating body–flute–divinity. Lying at the confluence of yogic, tantric, and devotional thought, the striking conceptual problem about the flute in Bengal Vaishnavism is: are the body, flute and divinity distinct or the same? I argue that the flute’s descriptions in both classical Sanskrit texts and popular oral lore and performances draw together ostensibly opposed religious paradigms of Yoga (oneness with divinity) and passionate devotion/bhakti (difference): its fine, airy feeling fusing with the body’s inner breathing self, and sweet melody producing a subservient temperament towards the lover–god outside. Flute sounds embody the peculiar dialectic of difference-and-identity among devotee–flute–god, much like the flute–lip-lock itself, bringing to affective life the Bengal Vaishnava philosophical foundation of achintya-bhed-abhed (inconceivability between principles of separation and indistinction). Full article

Background: Systematic scleroderma is a rare chronic autoimmune disease of unknown aetiology. The aim of this study was to identify the prevalence of orofacial pathognomonic conditions in patients with systemic scleroderma using only randomised prospective studies that investigated the treatment of oral and maxillofacial changes, highlighted associations between the disease and Sjogren’s syndrome, and/or analysed the effect of oral hygiene. Methods: The literature was systematically reviewed based on Cochrane Library, EMBASE, PubMed, Scopus, and Web of Science articles published up to March 2020. The primary endpoint of this analysis was defined as an estimation of the prevalence of oral mucosal changes in different areas of the oral cavity (oral mucosa, tongue, lip, periodontal status, bones, and other regions) in patients suffering from scleroderma. Therefore, a systematic literature search (Cochrane Library, EMBASE, PubMed, Scopus, and Web of Science) was conducted and limited by the publication date (1950-03/2020) and the publication language (English). Extracted frequencies were pooled using methods for meta-analysis. In order to obtain the highest level of evidence, only prospective study reports were considered to be eligible. Results: After full-text screening, 14 (766 patients) out of 193 publications were eligible for the final analysis. Twelve studies produced reliable results in the final data sets. Calculation of the pooled effect estimate (random effects model) revealed a prevalence of 57.6% (95% CI: 40.8–72.9%) for the main area “lip”. For the area “oral mucosa”, a prevalence of 35.5% (95% CI: 15.7–62.0%) was calculated. The prevalence for “other regions” was only based on studies with salivary changes and was calculated to be 25.4% (95% CI: 14.2–41.3%). Conclusion: The most pathognomonic conditions in the orofacial region in patients with systemic scleroderma affect the lips, oral mucosa, and salivary glands. Full article

(1) Background: Glycogen storage disease (GSD) represents a group of twenty-three types of metabolic disorders which damage the capacity of body to store glucose classified basing on the enzyme deficiency involved. Affected patients could present some oro-facial alterations: the purpose of this review is to catalog and characterize oral manifestations in these patients. (2) Methods: a systematic review of the literature among different search engines using PICOS criteria has been performed. The studies were included with the following criteria: tissues and anatomical structures of the oral cavity in humans, published in English, and available full text. Review articles and paper published before 1990 were excluded. (3) Results: 757 articles were identified in the initial search. In the end, 45 articles that met the selection criteria has been analyzed. The information extracted from the articles was classified according to the type of GSD (Ia; Ib; II; III; V; XIV). Oral manifestations range from dental caries to severe periodontitis in paediatric patients, from diffuses and recurrent oral ulcers in the cleft lip and palate. (4) Conclusions: Although considered a rare disease, GSD can present a varied number of oral manifestations. Therefore, it is of great importance for the oral medicine specialist to know and classify them. Full article

Background: This systematic review summarizes the current knowledge on the superimposition of three-dimensional (3D) diagnostic records to realize an orthodontic virtual patient. The aim of this study is to analyze the accuracy of the state-of-the-art digital workflow. Methods: The research was carried out by an electronic and manual query effectuated from ISS (Istituto Superiore di Sanità in Rome) on three different databases (MEDLINE, Cochrane Library and ISI WEB OF SCIENCE) up to 31st January 2020. The search focused on studies that superimposed at least two different 3D records to build up a 3D virtual patient—information about the devices used to acquire 3D data, the software used to match data and the superimposition method applied have been summarized. Results: 1374 titles were retrieved from the electronic search. After title-abstract screening, 65 studies were selected. After full-text analysis, 21 studies were included in the review. Different 3D datasets were used: facial skeleton (FS), extraoral soft tissues (ST) and dentition (DENT). The information provided by the 3D data was superimposed in four different combinations: FS + DENT (13 papers), FS + ST (5 papers), ST + DENT (2 papers) and all the types (FS + ST + DENT) (1 paper). Conclusions: The surface-based method was most frequently used for 3D objects superimposition (11 papers), followed by the point-based method (6 papers), with or without fiducial markers, and the voxel-based method (1 paper). Most of the papers analyzed the accuracy of the superimposition procedure (15 papers), while the remaining were proof-of-principles (10 papers) or compared different methods (3 papers). Further studies should focus on the definition of a gold standard. The patient is going to have a huge advantage from complete digital planning when more information about the spatial relationship of anatomical structures are needed: ectopic, impacted and supernumerary teeth, root resorption and angulations, cleft lip and palate (CL/P), alveolar boundary conditions, periodontally compromised patients, temporary anchorage devices (TADs), maxillary transverse deficiency, airway analyses, obstructive sleep apnea (OSAS), TMJ disorders and orthognathic and cranio-facial surgery. Full article