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Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation.
Sci Rep
January 2025
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound using actionable concepts as feedback to end-users, using a prospective cross-center, multi-level approach. We developed, implemented, and tested a deep-learning model for fetal growth scans using both retrospective and prospective data. We used a modified Progressive Concept Bottleneck Model with pre-established clinical concepts as explanations (feedback on image optimization and presence of anatomical landmarks) as well as segmentations (outlining anatomical landmarks).
View Article and Find Full Text PDFThe segmentation of nanoparticles with a novel approach of HRU-Net.
Sci Rep
January 2025
School of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China.
Nanoparticles have great potential for the application in new energy and aerospace fields. The distribution of nanoparticle sizes is a critical determinant of material properties and serves as a significant parameter in defining the characteristics of zero-dimensional nanomaterials. In this study, we proposed HRU-Net, an enhancement of the U-Net model, featuring multi-level semantic information fusion.
View Article and Find Full Text PDFPatient safety is our business! Staff perspectives on implementing hospital falls prevention education.
Health Promot Int
January 2025
School of Allied Health, University of Western Australia, 35 Stirling Highway, Perth, Western Australia, 6009 Australia.
Providing patients with falls prevention education reduces falls in hospitals, yet there is limited research on what influences successful implementation at the staff, ward and hospital levels. We engaged hospital-based health professionals to identify multi-level barriers and enablers to patient falls education that could influence the implementation of a Safe Recovery program. Purposive sampling was used to recruit hospital staff (n = 40) for focus groups and one-on-one interviews.
View Article and Find Full Text PDFCombined feature of enhanced stability and multi-level switching observed in TiN/Ta2O5/Ag-NPs/ITO/PET structure.
Nanotechnology
January 2025
Department of Physics, Shanghai Jiao Tong University, 800 Dong Chuan Road, Minhang Area, Shanghai 200240, Shanghai, 200240, CHINA.
Both stability and multi-level switching are crucial performance aspects for resistive random-access memory (RRAM), each playing a significant role in improving overall device performance. In this study, we successfully integrate these two features into a single RRAM configuration by embedding Ag-nanoparticles (Ag-NPs) into the TiN/Ta2O5/ITO structure. The device exhibits substantially lower switching voltages, a larger switching ratio, and multi-level switching phenomena compared to many other nanoparticle-embedded devices.
View Article and Find Full Text PDFMemristive ternary Łukasiewicz logic based on reading-based ratioed resistive states (3R).
Philos Trans A Math Phys Eng Sci
January 2025
Peter Gruenberg Institut (PGI-7), Forschungszentrum Juelich GmbH, Juelich, Germany.
The thirst for more efficient computational paradigms has reignited interest in computation in memory (CIM), a burgeoning topic that pivots on the strengths of more versatile logic systems. Surging ahead in this innovative milieu, multi-valued logic systems have been identified as possessing the potential to amplify storage density and computation efficacy. Notably, ternary logic has attracted widespread research owing to its relatively lower computational and storage complexity, offering a promising alternative to the traditional binary logic computation.
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