Assessment of CNNs, Transformers, and Hybrid Architectures in Dental Image Segmentation.

Objectives: Convolutional Neural Networks (CNNs) have long dominated image analysis in dentistry, reaching remarkable results in a range of different tasks. However, Transformer-based architectures, originally proposed for Natural Language Processing, are also promising for dental image analysis. The present study aimed to compare CNNs with Transformers for different image analysis tasks in dentistry.

Clinical Progression on CDR-SB : Progression Free Time at Each 0.5-unit Level in Dominantly Inherited and Sporadic Alzheimer's Disease Populations.

Introduction: CDR-SB is a reliable and clinically meaningful composite for assessing treatment effects in Alzheimer's disease (AD) clinical trials. Small CDR-SB differences at the end of a trial often lead to controversy in deriving clinically meaningful interpretations.

Methods: We estimated progression-free time participants remained at each 0.

Long-Term Safety of Epicutaneous Immunotherapy in Peanut-Allergic Children: An Open-Label Active Treatment (REALISE Study).

Background: Due to limited treatment options for peanut allergy, patients remain at risk for allergic reactions due to accidental exposure. Epicutaneous immunotherapy (EPIT) is a novel treatment being investigated for peanut allergy.

Objective: This study assessed long-term safety of EPIT with VIASKIN® peanut patch 250 μg (VP250) via an open-label extension of the REAL Life Use and Safety of EPIT (REALISE) trial.

Prevalence and associations of kinesiophobia with patient-reported outcomes and mobility measures in axial spondyloarthritis.

Objective: To investigate prevalence and associations of kinesiophobia on patients with axSpA, and its relation to global functioning and health, disease activity, function, spinal mobility and physical activity in comparison to healthy controls (HC).

Methods: Cross-sectional, observational study in which consecutive axSpA-patients with axSpA (n=100) and 20 healthy controls (HC) were examined by the Tampa scale of kinesiophobia (TSK), and the Fear avoidance belief questionnaire (FABQ). Patient reported outcomes and objective assessments of disease activity physical function, global health and functioning as well as the BASMI, the AS physical performance index (ASPI), the Short Physical Performance Battery (SPPB) and Epionics SPINE (ES) measurements, including range of motion (RoM) and kinematics (RoK) were collected.

DRACO: differentiable reconstruction for arbitrary CBCT orbits.

Objective: This study introduces a novel method for reconstructing cone beam computed tomography (CBCT) images for arbitrary orbits, addressing the computational and memory challenges associated with traditional iterative reconstruction algorithms.

Approach: The proposed method employs a differentiable shift-variant filtered backprojection neural network, optimized for arbitrary trajectories. By integrating known operators into the learning model, the approach minimizes the number of trainable parameters while enhancing model interpretability.