Development and validation of a sport-specific shoulder score questionnaire for functional fitness and weightlifting athletes.

Background: So-called scores are a frequently used evaluation system in clinical examinations to assess the function or limitations of a joint such as the shoulder. However, research indicates that these general scores often have limited validity for specific patient groups, such as athletes. Known as a demanding patient population, athletes have unique needs.

Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data.

Background: Involuntary admissions to psychiatric hospitals are on the rise. If patients at elevated risk of involuntary admission could be identified, prevention may be possible. Our aim was to develop and validate a prediction model for involuntary admission of patients receiving care within a psychiatric service system using machine learning trained on routine clinical data from electronic health records (EHRs).

Patient trust in the use of machine learning-based clinical decision support systems in psychiatric services: A randomized survey experiment.

Background: Clinical decision support systems (CDSS) based on machine-learning (ML) models are emerging within psychiatry. If patients do not trust this technology, its implementation may disrupt the patient-clinician relationship. Therefore, the aim was to examine whether receiving basic information about ML-based CDSS increased trust in them.

Hemiarthroplasty in Proximal Humerus Fractures: Does Modular Metaphyseal Stem Design Lead to Better Results? An Analysis of 24 Cases.

Introduction: Anatomic hemiarthroplasty (aHA) is a treatment option for non-reconstructable constructable multifragment proximal humeral fractures that preserves range of motion. Our study aims to evaluate the radiographic and clinical outcomes of patients who received a modular aHA with anatomical sizing of the tubercle-bearing metaphyseal components.

Materials And Methods: The medical records of thirty-nine consecutive patients were reviewed.