In the 14 years Nicola Milne has been a practice nurse, she has seen the number of people with diabetes at her practice increase from 400 to 700, while the overall list size has remained the same.
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Psychometric properties of the Fear of Birth Scale in women in the perinatal period: A multicountry study.
J Affect Disord
January 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.
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Ann Transl Med
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Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
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Front Parasitol
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Department of Zoology and Environmental Management, Faculty of Science, University of Kelaniya, Dalugama, Kelaniya, Sri Lanka.
Dirofilariasis, caused by the nematode spp., poses significant challenges in diagnosis due to its diverse clinical manifestations and complex life cycle. This comprehensive literature review focuses on the evolution of diagnostic methodologies, spanning from traditional morphological analyses to modern emerging techniques in the context of dirofilariasis diagnosis.
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Biomed Opt Express
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Department of Robotics, University of Michigan, USA.
Conventional scanned optical coherence tomography (OCT) suffers from the frame rate/resolution tradeoff, whereby increasing image resolution leads to decreases in the maximum achievable frame rate. To overcome this limitation, we propose two variants of machine learning (ML)-based adaptive scanning approaches: one using a ConvLSTM-based sequential prediction model and another leveraging a temporal attention unit (TAU)-based parallel prediction model for scene dynamics prediction. These models are integrated with a kinodynamic path planner based on the clustered traveling salesperson problem to create two versions of ML-based adaptive scanning pipelines.
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Biomed Opt Express
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Warsaw University of Technology, Institute of Micromechanics and Photonics, 8 Sw. A. Boboli St., 02-525 Warsaw, Poland.
A fair comparison of multiple live cell cultures requires examining them under identical environmental conditions, which can only be done accurately if all cells are prepared simultaneously and studied at the same time and place. This contribution introduces a multiplexed lensless digital holographic microscopy system (MLS), enabling synchronous, label-free, quantitative observation of multiple live cell cultures with single-cell precision. The innovation of this setup lies in its ability to robustly compare the behaviour, i.
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