Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

Objectives: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models.

Materials And Methods: A total of 1774 lateral cephalograms of 887 adult patients who had undergone orthodontic treatment were collected. Patients who had orthognathic surgery were excluded.

Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.

Objectives: To compare facial growth prediction models based on the partial least squares and artificial intelligence (AI).

Materials And Methods: Serial longitudinal lateral cephalograms from 410 patients who had not undergone orthodontic treatment but had taken serial cephalograms were collected from January 2002 to December 2022. On every image, 46 skeletal and 32 soft-tissue landmarks were identified manually.

Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal.

Studies on the breeding of vulnerable and endangered bird species are hindered by low numbers of individuals, inaccessible location of nests, unfavourable environmental conditions, and complex behavioural patterns. In addition, intraspecific variation may emerge only following long-term, systematic observations of little-known patterns and processes. Here, data collected over 30 years were used to determine growth model of hyacinth macaw (Anodorhynchus hyacinthinus) chicks in the Pantanal biome of Brazil.

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.

Objectives: To develop a facial growth prediction model incorporating individual skeletal and soft tissue characteristics.

Materials And Methods: Serial longitudinal lateral cephalograms were collected from 303 children (166 girls and 137 boys), who had never undergone orthodontic treatment. A growth prediction model was devised by applying the multivariate partial least squares (PLS) algorithm, with 161 predictor variables.

International physical therapists consensus on clinical descriptors for diagnosing rotator cuff related shoulder pain: A Delphi study.

Background: There is a lack of standardized criteria for diagnosing rotator cuff related shoulder pain (RCRSP).

Objective: To identify the most relevant clinical descriptors for diagnosing RCRSP.

Methods: A Delphi study was conducted through use of an international physical therapists expert panel.

Time series analysis.

Introduction: This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.

Methods: Records of new patients who visited 2 different university-affiliated orthodontic departments in 2 different countries were collected. Time series analysis was performed by applying Language R software.

Assessment of reliability in orthodontic literature.

Objectives: To map the statistical methods applied to assess reliability in orthodontic publications and to identify possible trends over time.

Materials And Methods: Original research articles published in 2009 and 2019 in a subset of orthodontic journals were downloaded. Publication characteristics, including publication year, number of authors, single vs multicenter study, geographic origin of the study, statistician involvement, study category, subject category, types of reliability assessment, and statistical methods applied to assess reliability, were recorded.

Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest.

The northwestern portion of the Upper Paraná Atlantic Forest ecoregion is one of the most disturbed and fragmented areas in the Atlantic Forest, and little is known about the local avifauna. In this study, we have described the composition and diversity of the aquatic avifauna of this region and analyzed the patterns of similarity with respect to the seasonal as well as spatial distribution. We used the line transect sampling technique in six distinct humid areas (including lentic and lotic water bodies) during the dry and rainy seasons of 2012 and 2013.

Evaluation of an automated superimposition method based on multiple landmarks for growing patients.

Objectives: To determine if an automated superimposition method using six landmarks (Sella, Nasion, Porion, Orbitale, Basion, and Pterygoid) would be more suitable than the traditional Sella-Nasion (SN) method to evaluate growth changes.

Materials And Methods: Serial lateral cephalograms at an average interval of 2.7 years were taken on 268 growing children who had not undergone orthodontic treatment.

Evaluation of automated cephalometric analysis based on the latest deep learning method.

Objectives: To compare an automated cephalometric analysis based on the latest deep learning method of automatically identifying cephalometric landmarks (AI) with previously published AI according to the test style of the worldwide AI challenges at the International Symposium on Biomedical Imaging conferences held by the Institute of Electrical and Electronics Engineers (IEEE ISBI).

Materials And Methods: This latest AI was developed by using a total of 1983 cephalograms as training data. In the training procedures, a modification of a contemporary deep learning method, YOLO version 3 algorithm, was applied.

Erratum: Petrofsky, J., et al. Greater Postural Sway and Tremor during Balance Tasks in Patients with Plantar Fasciitis Compared to Age-Matched Controls. 2020, , 219.

Some details of the author affiliations should be corrected in the article [...

Greater Postural Sway and Tremor during Balance Tasks in Patients with Plantar Fasciitis Compared to Age-Matched Controls.

Plantar fasciitis (PF) is a common condition found in men and women and can reoccur throughout life. PF is commonly diagnosed by prolonged foot pain lasting more than 3 months and a plantar fascia over 0.4 mm thick, as measured using ultrasound imaging.

Automated identification of cephalometric landmarks:

Objectives: To compare detection patterns of 80 cephalometric landmarks identified by an automated identification system (AI) based on a recently proposed deep-learning method, the You-Only-Look-Once version 3 (YOLOv3), with those identified by human examiners.

Materials And Methods: The YOLOv3 algorithm was implemented with custom modifications and trained on 1028 cephalograms. A total of 80 landmarks comprising two vertical reference points and 46 hard tissue and 32 soft tissue landmarks were identified.

Automated identification of cephalometric landmarks: .

Objective: To compare the accuracy and computational efficiency of two of the latest deep-learning algorithms for automatic identification of cephalometric landmarks.

Materials And Methods: A total of 1028 cephalometric radiographic images were selected as learning data that trained You-Only-Look-Once version 3 (YOLOv3) and Single Shot Multibox Detector (SSD) methods. The number of target labeling was 80 landmarks.

Predicting soft tissue changes after orthognathic surgery: .

Objectives: To develop a prediction algorithm for soft tissue changes after orthognathic surgery that would result in accurate predictions (1) regardless of types or complexity of operations and (2) with a minimum number of input variables.

Materials And Methods: The subjects consisted of 318 patients who had undergone the surgical correction of Class II or Class III malocclusions. Two multivariate methods-the partial least squares (PLS) and the sparse partial least squares (SPLS) methods-were used to construct prediction equations.

A sparse principal component analysis of Class III malocclusions.

Objectives: To identify the most characteristic variables out of a large number of anatomic landmark variables on three-dimensional computed tomography (CT) images. A modified principal component analysis (PCA) was used to identify which anatomic structures would demonstrate the major variabilities that would most characterize the patient.

Materials And Methods: Data were collected from 217 patients with severe skeletal Class III malocclusions who had undergone orthognathic surgery.

Evidence of dynamic visual acuity impairment in asymptomatic mixed martial arts fighters.

Aim: The purpose of this study was to determine the amount of visual acuity loss with head movement in actively training mixed martial arts (MMA) fighters.

Methods: Vestibulo-ocular reflex function of 22 asymptomatic, male MMA fighters (age = 29.2 ± 5.

Cranial osteology of the genus Sclerurus (Passeriformes: Furnariidae).

The Furnariidae encompasses 293 species and has been recognized as an example of continental adaptive radiation. They inhabit biomes from deserts to humid forests at all strata and show morphological heterogeneity unparalleled among birds at any taxonomic level. Sclerurus is a uniform genus of cryptic, mainly dark brown furnariids, with short black tails which are found solitary on or near the ground inside humid forest.

Long-term results of radial extracorporeal shock wave treatment for chronic plantar fasciopathy: A prospective, randomized, placebo-controlled trial with two years follow-up.

Numerous randomized controlled trials (RCTs) demonstrated efficacy and safety of extracorporeal shock wave therapy (ESWT) for chronic plantar fasciopathy (cPF). However, only two such RCTs investigated a follow-up period of more than 1 year, both applying focused ESWT. Corresponding data for radial ESWT (rESWT) have not yet been reported.

How to test validity in orthodontic research: a mixed dentition analysis example.

Introduction: The data used to test the validity of a prediction method should be different from the data used to generate the prediction model. In this study, we explored whether an independent data set is mandatory for testing the validity of a new prediction method and how validity can be tested without independent new data.

Methods: Several validation methods were compared in an example using the data from a mixed dentition analysis with a regression model.

Distribution, composition and seasonality of aquatic birds in the Nhecolândia sub-region of South Pantanal, Brazil.

Despite remarkable significance of Pantanal for the conservation of aquatic birds, the status of their populations, the spatiotemporal patterns of distribution and habitat use and structure of communities are little known. Thus, we studied three aquatic environments (Negro river, bays and salines) from 2007 to 2009 in the Nhecolândia Pantanal to verify the distribution and composition of aquatic birds and also if there is significant seasonal influence on these aspects. We adopted the transect method (288 hours of sampling) and recorded 135 species (7.