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Previous research has contrasted fleeting erroneous experiences of familiarity with equally convincing, and often more stubborn erroneous experiences of remembering. While a subset of the former category may present as nonpathological "déjà vu," the latter, termed "déjà vécu" can categorize a delusion-like confabulatory phenomenon first described in elderly dementia patients. Leading explanations for this experience include the dual process view, in which erroneous familiarity and erroneous recollection are elicited by inappropriate activation of the parahippocampal cortex and the hippocampus, respectively, and the more popular encoding-as-retrieval explanation in which normal memory encoding processes are falsely flagged and interpreted as memory retrieval. This paper presents a novel understanding of this recollective confabulation that builds on the encoding-as-retrieval hypothesis but more adequately accounts for the co-occurrence of persistent déjà vécu with both perceptual novelty and memory impairment, the latter of which occurs not only in progressive dementia but also in transient epileptic amnesia (TEA) and psychosis. It makes use of the growing interdisciplinary understanding of the fluidity of time and posits that the functioning of memory and the perception of novelty, long known to influence the subjective experience of time, may have a more fundamental effect on the flow of time.
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http://dx.doi.org/10.3389/fpsyg.2022.794683 | DOI Listing |
Introduction: Simulation-based learning (SBL) is a recognised teaching and learning tool within higher education (HE) and one capable of facilitating skill retention and knowledge retrieval. Successfully achieving these outcomes relies on effective design, delivery and debriefing; yet a limited range of publications draw together these fundamental components. High-fidelity simulation (HFS) describes a sub-division of SBL that, in recent years, has generated traction within healthcare education.
View Article and Find Full Text PDFPLoS One
August 2025
Department of Pathology, Hôpital Européen Georges-Pompidou, APHP, Paris, France.
The integration of Artificial Intelligence (AI) algorithms into pathology practice presents both opportunities and challenges. Although it can improve accuracy and inter-rater reliability, it is not infallible and can produce erroneous diagnoses, hence the need for pathologists to always check predictions. This critical judgment is particularly important when algorithm errors could lead to high-impact negative clinical outcomes, such as missing an invasive carcinoma.
View Article and Find Full Text PDFAm J Emerg Med
July 2025
Department of Emergency Medicine, College of Medicine, The Ohio State Wexner Medical Center, Columbus, OH, USA.
Background: The Emergency Department (ED) offers the opportunity to expand vaccine prevention interventions. However, the processes, outcomes, and sustainability of ED influenza vaccination remain largely uncharacterized. We report the outcomes of a low-intensity, electronic health record (EHR) facilitated, ED influenza vaccination initiative.
View Article and Find Full Text PDFJMIR Med Inform
July 2025
Department of Pharmacy, Fuwai Central China Cardiovascular Hospital, 1 Fuwai Road, Zhengdong New District, Zhengzhou, China, 86 18538298379.
Background: Generative artificial intelligence (AI) systems are increasingly deployed in clinical pharmacy; yet, systematic evaluation of their efficacy, limitations, and risks across diverse practice scenarios remains limited.
Objective: This study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios-medication consultation, medication education, prescription review, and case analysis with pharmaceutical care-using a multidimensional framework.
Methods: Forty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases).
Eur J Pharm Sci
September 2025
Institute of Pharmacy, University of Tartu, Nooruse 1, Tartu, 50411, Tartumaa, Estonia. Electronic address:
Electrospinning increases opportunities to facilitate the production of drug delivery systems (DDSs), such as complex biomaterials. However, the manual measurement of fiber diameters remains a critical bottleneck, hindering efficiency and scalability. While existing tools like SIMPoly, ImageJ/FIJI plugins (e.
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