Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.47102/annals-acadmedsg.202414 | DOI Listing |
BMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
BMC Cancer
January 2025
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jinan District, Fuzhou City, Fujian Province, People's Republic of China.
Background: Our goal is to develop a nomogram model to predict overall survival (OS) for elderly esophageal squamous cell carcinoma (ESCC) patients receiving definitive radiotherapy (RT) or concurrent chemoradiotherapy (CRT), aiding clinicians in personalized treatment planning with a risk stratification system.
Methods: A retrospective study was conducted on 718 elderly ESCC patients treated with RT or CRT at 10 medical centers (3JECROG) from January 2004 to November 2016. We identified independent prognostic factors using univariate and multifactorial Cox regression to construct a nomogram model.
J Neuroeng Rehabil
January 2025
Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Background: Motion complexity is necessary for adapting to external changes, but little is known about trunk motion complexity during seated perturbation in individuals with spinal cord injury (SCI). We aimed to investigate changes following SCI in trunk segmental motion complexity across different perturbation directions and how they affect postural control ability in individuals with SCI.
Methods: A total of 17 individuals with SCI and 18 healthy controls participated in challenging sagittal-seated perturbations with hand protection.
BMC Public Health
January 2025
Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, 81th Meishan Road, Hefei, 230032, Anhui Province, China.
Introduction: School-based universal depression screening (SBUDS) is an effective method for early identification of depression. As parents are the primary decision-makers for their children's acceptance of healthcare services, this study aims to examine rural and urban parental acceptance of SBUDS.
Methods: The study assessed parental acceptance of SBUDS for their children and its association with self-reported parental perception of depression (i.
BMC Womens Health
January 2025
Department of Gynaecology and Obstetrics, University Hospital Pilsen, Charles University, Pilsen, Czech Republic.
Background: This is a multicentre, European, prospective trial evaluating the diagnostic accuracy of One Step Nucleic Acid Amplification (OSNA) compared to sentinel lymph nodes histopathological ultrastaging in endometrial cancer patients.
Methods: Centres with expertise in sentinel lymph node mapping in endometrial cancer patients in Europe will be invited to participate in the study. Participating units will be trained on the correct usage of the OSNA RD-210 analyser and nucleic acid amplification reagent kit LYNOAMP CK19 E for rapid detection of metastatic nodal involvement, based on the cytokeratin 19 (CK19) mRNA detection.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!