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Evaluation of the Ability of Machine Learning-Models to Assess Postural Orientation Errors During a Single-Leg Squat

OBJECTIVES: To reach agreement among experts on visual assessments of postural orientation errors (POEs) during the single-leg squat (SLS), and to use expert agreement assessments as ground truth for machine learning (ML) models to evaluate their ability to classify POEs.DESIGN: Methodological study with mixed-methods design.METHODS: POEs of the lower extremity and trunk were assessed from videos

Navigating in Closeness with Residents at Group Homes for Adults with Intellectual Disabilities: Self-Determination and Ethical Dilemmas in Everyday Work

Based on the perspective of frontline staff who work closely with adults with intellectual disabilities (ID) in group homes in Sweden, this article explores ethical dilemmas that arise when daily tasks intersect with efforts to achieve the disability policy goal of self-determination and the nature of close work relationships. Using the successive focus group interview method, the study highlights

The Future of Criteria in Historical Jesus Research

Recent discussions of method in historical Jesus research have called into question the use of criteria for evaluating the authenticity of Gospel material. The present article lays out the reasons why a number of scholars call for an abandonment of the so-called criteria approach and then criticizes the allegation that this approach is genetically and logically dependent on form criticism. By anal

Novus enkatundersokning forskande intensivvard

PowerPoint-presentation 1 © Novus 2020. All rights reserved. www.novus.se1 Forskande intensivvård ̶ Långt formulär Kontakt Skånes universitetssjukhus: Fredrik Sjövall Kontakt på Novus: Cecilia Dahlheim Datum: 2020-12-04 2 © Novus 2020. All rights reserved. www.novus.se2 BAKGRUND Undersökningen har genomförts av Novus på uppdrag av Region Skåne (Fredrik Sjövall). Syftet med undersökningen var att k

https://www.medicin.lu.se/sites/medicin.lu.se/files/novus_enkatundersokning_forskande_intensivvard.pdf - 2026-05-30

Generalization of prostate cancer classification for multiple sites using deep learning

Deep learning has the potential to drastically increase the accuracy and efficiency of prostate cancer diagnosis, which would be of uttermost use. Today the diagnosis is determined manually from H&E stained specimens using a light microscope. In this paper several different approaches based on convolutional neural networks for prostate cancer classification are presented and compared, using th