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http://dx.doi.org/10.1563/aaid-joi-D-20-00095 | DOI Listing |
IEEE Trans Med Imaging
September 2025
Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.
View Article and Find Full Text PDFPLoS One
September 2025
Addis Ababa University, College of Health Science, Addis Ababa, Ethiopia.
Introduction: Prolonged Emergency Department (ED) stays, a global issue driving overcrowding, were exacerbated at our hospital by lab delays and extended waits, increasing patient stress. This study aimed to reduce hematology patients' length of stay (LOS). Using the fishbone method to identify care barriers, three interventions were implemented: redesigned lab referral systems, an online specialist communication platform, and patient navigation floor maps.
View Article and Find Full Text PDFJ Hepatol
July 2025
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, 01307 Dresden, Germany; Medical Oncology, National Center for Tumor Disease
Artificial intelligence (AI) methods in hepatology have proliferated since the mid-2010s, with numerous publications and some regulatory approvals. Yet, adoption of AI methods in real-world clinical practice and clinical research remains limited. Despite clear benefits of using AI to analyze complex data types in hepatology, such as histopathology, radiology images, multi-omics and more recently, natural language patient data, there are still substantial barriers and challenges to its integration into routine clinical workflows.
View Article and Find Full Text PDFJMIR Med Educ
September 2025
Faculty of Nursing, University of Calgary, Calgary, AB, Canada.
The integration of digital health and informatics competencies into health care education in Canada is essential for preparing a workforce capable of leveraging health care technologies to enhance care delivery and patient outcomes. Despite significant advancements, the current educational landscape in digital health remains inconsistent, characterized by fragmented curricula and uneven competency attainment. Addressing these gaps requires an innovative reframing of digital health competencies guided by a robust, outcomes-oriented framework.
View Article and Find Full Text PDFInt J Oral Implantol (Berl)
September 2025
Purpose: To present a novel digital workflow (the Columbus Digital Bridge Protocol) for immediately loaded full-arch rehabilitations, integrating digital technologies throughout diagnostic, surgical and prosthetic phases, with a focus on the application of intraoral photogrammetry scanning.
Materials And Methods: The workflow presented in this article, successfully implemented in 14 patients, includes standardised clinical steps: digital diagnostic planning through matching of facial scans and CBCT data, surgical placement of four implants following tooth extraction, immediate post-surgical intraoral photogrammetry scanning using a three-step procedure (i.e.