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The use of telemedicine in family medicine: a scoping review.
BMC Health Serv Res
March 2025
Department of Health Policy and Management, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Telemedicine is becoming increasingly important in primary health care globally. It is recognized as safe, convenient, and cost-effective. The aim of this study is to explore the use of telemedicine in family medicine services, focusing on identifying its areas of application, advantages, disadvantages, and the infrastructure required for effective implementation of this technology.
View Article and Find Full Text PDFA semi-supervised domain adaptive medical image segmentation method based on dual-level multi-scale alignment.
Sci Rep
March 2025
School of Software, North University of China, Taiyuan, Shanxi, China.
In the actual image segmentation tasks in the medical field, the phenomenon of limited labeled data accompanied by domain shifts often occurs and such domain shifts may exist in homologous or even heterologous data. In the study, a novel method was proposed to deal with this challenging phenomenon. Firstly, a model was trained with labeled data in source and target domains so as to adapt to unlabeled data.
View Article and Find Full Text PDFThe impact of the student perception of teacher talk on student language learning attainment.
BMC Psychol
March 2025
School of Foreign Languages, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi, China.
While prior studies provide valuable insights into the role of teacher talk and its impact on learning outcomes, there remains a need for further research on how contextual factors may interact with student perceptions to influence language learning. This study explores how students' perceptions of teacher talk influence their English language learning outcomes, focusing on the mediating roles of student enjoyment and emotional exhaustion, as well as the moderating role of self-efficacy. The research involved a cross-sectional survey with 357 university students, and the data were analyzed using structural equation modeling (SEM).
View Article and Find Full Text PDFIs Personal Experience Essential for Effective Psychedelic Therapists?: The Challenges of Small, Accumulating Therapist Effects.
Psychedelic Med (New Rochelle)
September 2024
Department of Psychology, University at Albany, SUNY, Albany, New York, USA.
Many authors assert that those who provide psychedelic-assisted therapy (PAT) likely benefit from having personal experiences with psychedelics (PEP) as part of their training. Meta-analytic results confirm advantages of experiential learning in other forms of training as well. Potential PAT clients, especially those who identify as members of underrepresented groups, report that PEP is important to them in their choice of guides.
View Article and Find Full Text PDFDevelopment of artificial intelligence-based algorithms for the process of human identification through dental evidence.
Int J Legal Med
March 2025
Centro de Estatística e Aplicações da Universidade de Lisboa, Bloco C6 - Piso 4, 1749-016, Lisbon, Portugal.
Introduction: Forensic Odontology plays a crucial role in medicolegal identification by comparing dental evidence in antemortem (AM) and postmortem (PM) dental records, including orthopantomograms (OPGs). Due to the complexity and time-consuming nature of this process, imaging analysis optimization is an urgent matter. Convolutional neural networks (CNN) are promising artificial intelligence (AI) structures in Forensic Odontology for their efficiency and detail in image analysis, making them a valuable tool in medicolegal identification.
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