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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.
JMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFThe Role of Multimodality Imaging in Multiple Valvular Heart Diseases. A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC.
Eur Heart J Cardiovasc Imaging
January 2025
Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.
With this document, the European Association of Cardiovascular Imaging (EACVI) provides an Expert Consensus on the role of multi-modality imaging (MMI) in the management of patients with multiple valvular heart disease (MVD). Emphasis is given to the use of MMI to unravel the diagnostic challenges that characterize these patients and to improve risk stratification. Complementing the last European Society of Cardiology and European Association of Cardio-Thoracic Surgery guidelines on valvular heart disease, this Expert Consensus document also outlines how MMI assessment should form an integral part of the multi-disciplinary heart team discussion for patients with MVD to help with complex decision-making regarding the choice and timing of treatment.
View Article and Find Full Text PDFOveruse of medical imaging and effects of payer-provider integration: quasi-experimental evidence from Finland.
Health Econ Rev
January 2025
Finnish Institute for Health and Welfare, PO Box 30, 00271, Helsinki, Finland.
Background: Healthcare expenditures have risen in middle- and high-income countries. One of the potential contributors is the overuse of diagnostics. I explore whether medical imaging is overused when privately owned clinics in Finland treat patients with voluntary private health insurance (VPHI).
View Article and Find Full Text PDFTransumbilical robotic single-port (RSP) sacrohysteropexy: A case report and literature review.
Int J Gynaecol Obstet
January 2025
Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA.
In this study, we report a 42-year-old woman who was preoperatively diagnosed with uterine prolapse degree III. After full communication and signing the informed consent, the patient received transumbilical single-port laparoscopic sacrohysteropexy with the assistance of a robot under general anesthesia on January 11, 2024. Our hospital successfully performed the single-port robot-assisted transumbilical laparoscopic sacrohysteropexy in China, which confirms the safety and effectiveness of Jingfeng single port surgical robot system SP1000 in clinical application.
View Article and Find Full Text PDFAssociation and relevant factors between objective masticatory performance and subjective masticatory ability among community-dwelling older adults.
J Dent Sci
January 2025
Department of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Background/purpose: Dentists often focus on masticatory performance (MP) rather than masticatory ability (MA) and treatment expectations when evaluating older adults. This study aimed to determine if MA aligns with MP and to explore influencing factors.
Materials And Methods: This cross-sectional study utilized a multi-stage stratified cluster sampling, including one thousand community-dwelling adults aged 60 and older.
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