Publications by authors named "M C D N J M Huysmans"

Background: Open Science Practices (OSPs) are essential when assessing research integrity and quality of Randomised Clinical Trials (RCTs). As dental caries represents a significant oral health burden, our objective was to identify and analyse the adoption of OSPs within RCTs focused on addressing this disease.

Methods: We searched PubMed to retrieve RCTs related to dental caries published from January 2000 to March 2022.

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Article Synopsis
  • Oral focus screening before hematopoietic cell transplantation (HCT) is critical, yet the impact of chronic dental issues on post-transplant health is not well understood.
  • A study of 500 patients highlighted that nearly half had untreated chronic dental problems, and those with three or more issues stayed in the hospital five days longer on average.
  • The research found that while having multiple dental foci increased hospital length of stay, it did not significantly affect early mortality rates post-HCT.
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Background: Stakeholders from the mental health care sector and the social security sector are often involved in the implementation of vocational rehabilitation (VR) interventions, so-called coordinated or integrated program, as clients need support from both fields. Collaboration of the involved stakeholders from both sectors is therefore important. In this study, a review was performed to provide an overview of the barriers and facilitators for collaboration during the implementation of coordinated or integrated vocational rehabilitation interventions.

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  • A novel convolutional neural network (CNN) algorithm was developed for detecting and staging secondary caries in bitewings, as limited research exists in this area.
  • The algorithm was trained using data from a Dutch dental practice, with a dataset of 2,612 restored teeth and various analytical methods to assess detection accuracy and lesion severity.
  • Results showed high specificity for detecting lesions, with a correlation coefficient indicating a good agreement between the algorithm's severity scores and expert evaluations, suggesting potential for clinical use.
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