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Practice education facilitators perceptions and experiences of their role in the clinical learning environment for nursing students: a qualitative study
BackgroundClinical placement is recognised as essential for nursing students’ development of clinical competence. However, difficulties in providing...
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From disobedience to struggle for adaptation: nursing students’ experiences of attending the clinical learning environment during Covid-19 pandemic
BackgroundThe Covid-19 pandemic has affected the clinical education of nursing students all over the world. Considering the importance of clinical...
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First-year nursing students’ initial contact with the clinical learning environment: impacts on their empathy levels and perceptions of professional identity
BackgroundResearch shows that the clinical learning environment can affect medical learners’ levels of empathy and formation of professional...
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Role of House Staff Association in graduate medical education: improving the clinical learning environment in teaching institutions—a national survey
PurposeHouse Staff spend several years in postgraduate medical training. Many training institutions have created House Staff Associations (HSAs) to...
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Relay learning: a physically secure framework for clinical multi-site deep learning
Big data serves as the cornerstone for constructing real-world deep learning systems across various domains. In medicine and healthcare, a single...
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Growth, Engagement, and Belonging in the Clinical Learning Environment: the Role of Psychological Safety and the Work Ahead
Psychological safety is the perception that an environment is safe for interpersonal risk taking, exposing vulnerability, and contributing...
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Perceptions and experiences of diploma nursing students on clinical learning. A descriptive qualitative study in Tanzania
BackgroundThe quality of nursing education depends largely on the experience student receive in the clinical environment. The learning environment is...
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Nurse anaesthetists’ experiences of student nurse anaesthetist learning during clinical practice: a qualitative interview study
BackgroundThe professional role of a nurse anaesthetist involves taking a pedagogical approach towards students, including supervision during...
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Psychometric properities of the Polish version of clinical learning environment inventory
BackgroundClinical experience is a crucial activity for nursing students. The way students` perceive clinical placement exerts an immense influence...
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Medical student, resident, and faculty perceptions about the third-year clerkship learning environment: a multi-institutional evaluation
PurposeNumerous components contribute to varied experiences among medical students on surgical clerkships. A welcoming environment, involvement in...
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Learning through clinical extramural studies: an observational study
BackgroundVeterinary medicine programmes require students to learn in formal educational settings and through workplace experiences. Previous studies...
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Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study
BackgroundVisualising patient genomic data in a cohort with embedding data analytics models can provide relevant and sensible patient comparisons to...
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An operational guide to translational clinical machine learning in academic medical centers
Few published data science tools are ever translated from academia to real-world clinical settings for which they were intended. One dimension of...
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Machine learning-based health environmental-clinical risk scores in European children
BackgroundEarly life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used...
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Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience
PurposeThe large variability in tumor appearance and shape makes manual delineation of the clinical target volume (CTV) time-consuming, and the...
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Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case
Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry requires...
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Clinical evaluation of a machine learning-based dysphagia risk prediction tool
PurposeThe rise of digitization promotes the development of screening and decision support tools. We sought to validate the results from a machine...
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Machine learning in neuroimaging: from research to clinical practice
Neuroimaging is critical in clinical care and research, enabling us to investigate the brain in health and disease. There is a complex link between...
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Clinical learning environment of nursing and midwifery students in Ghana
BackgroundData on student experience of the clinical learning environment in Ghana are scarce. We therefore aimed to assess students’ evaluation of...
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Predicting disease recurrence in breast cancer patients using machine learning models with clinical and radiomic characteristics: a retrospective study
BackgroundThe goal is to use three different machine learning models to predict the recurrence of breast cancer across a very heterogeneous sample of...
