Feasibility study of an experimental social space-oriented rehabilitation concept for people with intellectual and/or multiple disabilities: a study protocol.

Introduction: The United Nations underlines the participation in all domains of daily living for people with intellectual and/or multiple disabilities in the Disability Rights Convention, which also includes medical services. In line with this, the German Federal Participation Act has further developed the relevant disability policy at the national level. This also implies access to comprehensive medical care.

Development and validation of artificial intelligence models for early detection of postoperative infections (PERISCOPE): a multicentre study using electronic health record data.

Background: Postoperative infections significantly impact patient outcomes and costs, exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial intelligence (AI) models for postoperative infection prediction often lack external validation or perform poorly in local settings when validated. We aimed to develop locally valid models as part of the PERISCOPE AI system to enable early detection, safer discharge, and more timely treatment of patients.

Systematic evaluation of machine learning models for postoperative surgical site infection prediction.

Background: Surgical site infections (SSIs) lead to increased mortality and morbidity, as well as increased healthcare costs. Multiple models for the prediction of this serious surgical complication have been developed, with an increasing use of machine learning (ML) tools.

Objective: The aim of this systematic review was to assess the performance as well as the methodological quality of validated ML models for the prediction of SSIs.

Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review.

Background: Postoperative infections remain a crucial challenge in health care, resulting in high morbidity, mortality, and costs. Accurate identification and labeling of patients with postoperative bacterial infections is crucial for developing prediction models, validating biomarkers, and implementing surveillance systems in clinical practice.

Objective: This scoping review aimed to explore methods for identifying patients with postoperative infections using electronic health record (EHR) data to go beyond the reference standard of manual chart review.

Physiotherapy interventions in post- and long-COVID-19: a scoping review protocol.

Introduction: Post- or long-COVID-19 conditions manifest with a spectrum of symptoms reminiscent of pulmonary, musculoskeletal, psychological and neurological disorders. Individuals with post- or long-COVID-19 syndrome often present with myalgia, pulmonary problems and fatigue, which significantly impact their daily functioning. Physiotherapy interventions are an accepted medical remedy for these symptoms.