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The Role of Machine Learning Approaches in Pediatric Oncology: A Systematic Review.
Cureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
View Article and Find Full Text PDFOutcomes and Challenges of Motivational Interviewing in Dual Diagnosis Treatment-A Systematic Review.
J Dual Diagn
January 2025
Department of Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal.
Objective: Motivational interviewing (MI) is a client centered counseling approach which aims to promote behavior change by enhancing patient motivation through the exploration and resolution of ambivalence. This type of psychotherapy, initially designed for the treatment of substance use disorders (SUD), is now seen as an effective way to manage chronic physical and psychiatric diseases. Patients with Dual Diagnosis (DD), people who simultaneously have a SUD diagnosis and a mental illness, are a complex group of psychiatric patients who have a particularly low treatment engagement.
View Article and Find Full Text PDFCare providers' view of the barriers in providing care for adolescents with emotional and behavioral problems.
Front Psychol
December 2024
Department of Community and Occupational Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Objectives: Emotional and behavioral problems (EBP) during adolescence are a major public health issue due to its high prevalence and long-lasting consequences. The knowledge of the barriers in providing psychosocial care can be a starting point for subsequent efficiency improvement. Therefore, the aim of this study is to assess which barriers do care providers experience while providing psychosocial care for adolescents with EBP.
View Article and Find Full Text PDFThe Regensburg Dental Trauma Registry: Methodical Framework for the Systematic Collection of Dentoalveolar Trauma Data.
J Clin Med
November 2024
Department of Conservative Dentistry and Periodontology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, D-93053 Regensburg, Germany.
Traumatic dental injuries (TDIs) are common, particularly in children and adolescents, and require timely, well-documented treatment for optimal long-term functional and esthetic outcomes. Despite their prevalence, comprehensive data on TDI remain limited. The Regensburg Dental Trauma Registry (RDTR) was established to enable structured data collection, documentation and analysis of dentoalveolar trauma cases to improve both research and clinical practice.
View Article and Find Full Text PDFComparative Assessment of the Accuracy of Digital Versus Conventional Interocclusal Records in Dentulous Patients: A Systematic Review.
Cureus
October 2024
Department of Prosthodontics and Crown and Bridge, Manav Rachna Dental College, Faridabad, IND.
Interocclusal registration is an essential step in oral rehabilitation. Conventionally, interocclusal registration has been conducted using interocclusal records made of wax or silicone. However, a digital method of registration utilizing an intraoral scanner has been introduced for analyzing inter-arch relationships.
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