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.

Precision psychiatry needs causal inference.

Objective: Psychiatric research applies statistical methods that can be divided in two frameworks: causal inference and prediction. Recent proposals suggest a down-prioritisation of causal inference and argue that prediction paves the road to 'precision psychiatry' (i.e.

Surgical management and results of glenohumeral combination fractures of the anterior glenoid rim and the proximal humerus.

Introduction: The combination of anterior large glenoid rim fractures (GRF) and proximal humerus fractures (PHF) is rare, with limited data available on specific treatments for these glenohumeral combination fractures (GCF). This study aimed to evaluate the treatment approaches for GCF, analyze patient outcomes, and outline surgical management strategies for different fracture types.

Materials And Methods: This retrospective study included patients with GCF, excluding those with fossa glenoidalis fractures, isolated greater tuberosity fractures, or small glenoid rim fractures (< 5 mm).