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Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFExploring the clinical practice training program for Master of Nursing Specialist in anesthesia: A qualitative study.
Nurse Educ Today
January 2025
School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address:
Background: Clinical practice is key in the development and enhancement of the professional competencies for Master of Nursing Specialist postgraduates in anesthesia; however, there is a lack of unified and standardized clinical practice training programs in China, failing to guarantee teaching quality among institutions.
Objective: To understand perceptions of the clinical practice training program setting for Master of Nursing Specialist postgraduates in anesthesia from the dual perspectives of faculty and students.
Design: A qualitative descriptive study.
The Association of Psychological Factors With Willingness to Share Health-Related Data From Technological Devices: Cross-Sectional Questionnaire Study.
JMIR Form Res
January 2025
Department of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, the Netherlands, 31 134662142.
Background: Health-related data from technological devices are increasingly obtained through smartphone apps and wearable devices. These data could enable physicians and other care providers to monitor patients outside the clinic or assist individuals in improving lifestyle factors. However, the use of health technology data might be hampered by the reluctance of patients to share personal health technology data because of the privacy sensitivity of this information.
View Article and Find Full Text PDFLarge Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFVascular endothelial growth factor immunoexpression in oral paracoccidioidomycosis.
Med Oral Patol Oral Cir Bucal
January 2025
School of Dentistry. Federal University of Alfenas Rua Gabriel Monteiro da Silva, 700. Centro 37130.001. Alfenas, Minas Gerais, Brazil
Background: Paracoccidioidomycosis (PCM) is a systemic mycosis endemic and limited to Latin America. Brazil is responsible for more than 80% of diagnosed cases in the world. Since PCM is not a notifiable disease, there are still no accurate data on its incidence in Brazil.
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