The highly qualified performance of jobs according to professional standards due to the reformed system of additional professional education is one of the objectives of practical health care. The development of the educational program 'Children epileptology. Clinical, diagnostic and treatment issues' for increasing the qualification of neurologists was based on the competent approach that orients the content and process of education on the formation of competence in work performance. Work performance, in its turn, allowed the determination of professional tasks by neurologists. Module principles used in the development of the Program provided its structuration in accordance to step by step formation of physician competencies aimed to solve professional tasks. In its turn, professional tasks determined a choice of didactic conditions of each educational module (form, methods and means of education) that leads to the achievement of planned results.
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http://dx.doi.org/10.17116/jnevro20171175168-71 | DOI Listing |
Graefes Arch Clin Exp Ophthalmol
January 2025
Department of Ophthalmology, Columbia University, Vagelos College of Physicians and Surgeons, 630 W 168th Street, New York, NY, 10032, USA.
Purpose: To examine the nine-item National Eye Institute Vision Function Questionnaire (NEI-VFQ-9) scores at baseline and 12 months in participants enrolled in the Manhattan Vision Screening and Follow-up Study (NYC-SIGHT) and determine factors associated with improvements in vision-related quality-of-life (VRQOL).
Methods: Retrospective review of NEI-VFQ-9 scores at baseline and 12-month follow-up in a community-based eye health screening study conducted in Upper Manhattan, New York. Participants were age ≥ 40 years and older, living independently in public/affordable housing developments and able to provide informed consent.
Korean J Anesthesiol
January 2025
Department of Anesthesia and Perioperative Care, University of California, San Francisco, California, USA.
The application of extended reality (XR) technology is rapidly expanding in the medical field, including anesthesia. This review aims to introduce the current literature on XR utilization to help anesthesiologists adopt this technology in education and clinical practice. XR is useful for both knowledge acquisition and skill training in a wide range of settings, from students to medical professionals.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, China; School of Computer Science and Engineering, Southeast University, Nanjing, China.
Purpose: Dual-energy computed tomography (DECT) enables the differentiation of different materials. Additionally, DECT images consist of multiple scans of the same sample, revealing information similarity within the energy domain. To leverage this information similarity and address safety concerns related to excessive radiation exposure in DECT imaging, sparse view DECT imaging is proposed as a solution.
View Article and Find Full Text PDFBiol Psychiatry Cogn Neurosci Neuroimaging
January 2025
Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Background: Effective connectivity (EC) analysis provides valuable insights into the directionality of neural interactions, crucial for understanding the mechanisms underlying cognitive and emotional regulation in depressive and anxiety disorders. This study examined EC within key neural networks during working memory (WM) and emotional regulation (ER) tasks in young adults, both healthy and seeking help from mental health professionals for emotional distress.
Methods: Dynamic Causal Modeling (DCM) was employed to analyze EC in two independent samples (n=97 and n=94).
J Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
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