Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11221574 | PMC |
| http://dx.doi.org/10.1097/jpo.0000000000000476 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model.
Front Comput Neurosci
December 2024
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. Addressing the issues of incomplete and inconsistent adverse event records, we employed a deep learning model that combines BERT and BiLSTM to predict whether adverse event reports resulted in patient harm. We developed the Bert-BiLSTM-Att_dropout model specifically for text classification tasks with small datasets, optimizing the model's generalization ability and key information capture through the integration of dropout and attention mechanisms.
View Article and Find Full Text PDFAI performance assessment in blended learning: mechanisms and effects on students' continuous learning motivation.
Front Psychol
December 2024
Management College, Beijing Union University, Beijing, China.
Introduction: Blended learning combines the strengths of online and offline teaching and has become a popular approach in higher education. Despite its advantages, maintaining and enhancing students' continuous learning motivation in this mode remains a significant challenge.
Methods: This study utilizes questionnaire surveys and structural equation modeling to examine the role of AI performance assessment in influencing students' continuous learning motivation in a blended learning environment.
Evaluation of an assistive exosuit for alleviating neck and shoulder muscle fatigue during prolonged flexed neck posture.
J Neuroeng Rehabil
December 2024
Center for Healthcare Robotics, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Introduction: Neck pain affects 203 million people globally and is prevalent in various settings due to factors like poor posture, lack of exercise, and occupational hazards. Therefore, addressing ergonomic issues with solutions like a wearable robotic device is crucial. This research presents a novel assistive exosuit, characterized by its slim and lightweight structure and intuitive control without the use of hands, designed to mitigate muscle fatigue in the neck and shoulders during prolonged flexed neck posture.
View Article and Find Full Text PDFThe Validity and Usability of Markerless Motion Capture and Inertial Measurement Units for Quantifying Dynamic Movements.
Med Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
View Article and Find Full Text PDFDevelopment and evaluation of an implementation strategy to increase HPV vaccination among underserved youth across Texas: a protocol paper.
Implement Sci Commun
December 2024
Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA.
Background: All for Them is a theory-based and evidence-informed multilevel, multicomponent program delivered through schools to increase HPV vaccination among medically underserved youth across Texas. Given the potential logistical challenges of program implementation, understanding how to best support the implementation and sustainment of the program is critical. The overall goals of this study are twofold: 1) develop a multifaceted implementation strategy, Implementing All for Them (IM-AFT); and 2) evaluate the impact of IM-AFT on implementation outcomes for schools and healthcare providers to successfully implement All for Them in their respective settings.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!