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Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS.
Nat Commun
December 2024
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. This work proposes a streamlined photonic RC design based on a new paradigm, called next-generation RC, which overcomes these limitations.
View Article and Find Full Text PDFConceptualizing the Facilitators and Barriers of Successful Multidisciplinary Teamwork Within the Reablement Process: A Scoping Review.
Patient Prefer Adherence
December 2024
Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway.
Background: As the global population ages, there is increasing pressure on health systems to provide high-quality and cost-effective care for this growing segment of the population. Reablement, primarily a strategic home-based rehabilitation approach, has been demonstrated to be a cost-effective, multidisciplinary, holistic, and person-centred approach to maintaining functional independence as one ages. Given that care delivery in the home setting for older persons is complex, a key feature of effective implementation of reablement is the integration of a multidisciplinary team.
View Article and Find Full Text PDFExploring the potential of introducing an electronic death registration system in South Africa.
Health Res Policy Syst
December 2024
South African Medical Research Council, Cape Town, South Africa.
Background: Despite South Africa's well-established Civil Registration and Vital Statistics system (CRVS) and good completeness of death registration, challenges persist in terms of the quality of cause of death information and the delayed availability of mortality statistics. The introduction of an electronic medical certification of cause of death (eMCCD) system may offer opportunities to improve both the quality and timeliness of this information.
Methods: This study used an exploratory mixed methods design to investigate perceptions surrounding an electronic solution for registering deaths in South Africa.
The role of rapid multiplex molecular syndromic panels in the clinical management of infections in critically ill patients: an experts-opinion document.
Crit Care
December 2024
Critical Care Department, Hospital Universitario Dr. Peset, Valencia, Spain.
Rapid multiplex molecular syndromic panels (RMMSP) (3 or more pathogens and time-to-results < 6 h) allow simultaneous detection of multiple pathogens and genotypic resistance markers. Their implementation has revolutionized the clinical landscape by significantly enhancing diagnostic accuracy and reducing time-to-results in different critical conditions. The current revision is a comprehensive but not systematic review of the literature.
View Article and Find Full Text PDFTowards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.
Comput Biol Med
December 2024
Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
Artificial Intelligence (AI) models may fail or suffer from reduced performance when applied to unseen data that differs from the training data distribution, referred to as dataset shift. Automatic detection of out-of-distribution (OOD) data contributes to safe and reliable clinical implementation of AI models. In this study, we propose a recognized OOD detection method that utilizes the Mahalanobis distance (MD) and compare its performance to widely known classical methods.
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