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Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178.
Med Teach
January 2025
Department of Medical Education, Dartmouth College Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Health Professions Education (HPE) assessment is being increasingly impacted by Artificial Intelligence (AI), and institutions, educators, and learners are grappling with AI's ever-evolving complexities, dangers, and potential. This AMEE Guide aims to assist all HPE stakeholders by helping them navigate the assessment uncertainty before them. Although the impetus is AI, the Guide grounds its path in pedagogical theory, considers the range of human responses, and then deals with assessment types, challenges, AI roles as tutor and learner, and required competencies.
View Article and Find Full Text PDFTopographic Anatomy and Step-Wised Harvest of Intermuscular Occipital Artery in Far Lateral Approach.
World Neurosurg
January 2025
Xuanwu Hospital, Capital Medical University, Beijing, China; Samii Clinial Neuroanatomy Research and Education Center of Xuanwu Hospital, Beijing, China. Electronic address:
Background: The occipital artery (OA) is an important donor artery for intracranial and extracranial bypass surgery, but its path is tortuous, making it difficult to harvest. Part of the traditional intermuscular OA is not covered by muscle and is easily damaged during surgery. Currently, there are few reports on how to protect this segment of the OA.
View Article and Find Full Text PDFStudy on the path of clustering construction of rural primary schools' aesthetic education programs from the perspective of resource integration.
PLoS One
January 2025
College of Ecology and Environment, Baotou Teachers' College, Baotou, China.
Aesthetic education is an important part of the overall development of students. This study analyzes the number of rural schools and enrollment, number of classes, and number of full-time teachers in those schools from 2013 to 2022, and clarifies the current challenges in aesthetic education in rural elementary schools and the path of quality improvement. It then constructs a curriculum cluster model that shares resources, teachers, management, instructional design, and practical activities, etc.
View Article and Find Full Text PDFAnalyzing and Modeling the Dynamic Electrical Characteristics of Nanocomposite Large-Range Strain Gauges.
Sensors (Basel)
December 2024
Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA.
Flexible high-deflection strain gauges have been demonstrated to be cost-effective and accessible sensors for capturing human biomechanical deformations. However, the interpretation of these sensors is notably more complex compared to conventional strain gauges, particularly during dynamic motion. In addition to the non-linear viscoelastic behavior of the strain gauge material itself, the dynamic response of the sensors is even more difficult to capture due to spikes in the resistance during strain path changes.
View Article and Find Full Text PDFDeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation.
Diagnostics (Basel)
December 2024
Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Background: Cardiac magnetic resonance imaging (MRI) plays a crucial role in monitoring disease progression and evaluating the effectiveness of treatment interventions. Cardiac MRI allows medical practitioners to assess cardiac function accurately by providing comprehensive and quantitative information about the structure and function, hence making it an indispensable tool for monitoring the disease and treatment response. Deep learning-based segmentation enables the precise delineation of cardiac structures including the myocardium, right ventricle, and left ventricle.
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