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Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperimental Study.
J Med Internet Res
January 2025
Department of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.
Background: Chronic kidney disease (CKD) imposes a significant global health and economic burden, impacting millions globally. Despite its high prevalence, public awareness and understanding of CKD remain limited, leading to delayed diagnosis and suboptimal management. Traditional patient education methods, such as 1-on-1 verbal instruction or printed brochures, are often insufficient, especially considering the shortage of nursing staff.
View Article and Find Full Text PDFEffects of body weight-supported Tai Chi Yunshou training on upper limb motor function in stroke patients: A three-arm parallel randomized controlled trial.
PLoS One
January 2025
Department of Rehabilitation, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Objectives: To form a unique body weight support-Tai Chi Yunshou (BWS-TCY) training method, apply it to the treatment of upper limb dysfunction after stroke, and provide a new safe and effective treatment method for the clinic.
Methods: A total of 93 subjects were recruited and randomly divided into conventional rehabilitation treatment (CRT) group, BWS-TCY group and traditional robot-assisted training (RAT) group in equal proportions. Subjects in the CRT group received 60 minutes of CRT daily.
Examining the learning curves in robotic cardiac surgery wet lab simulation training.
Interdiscip Cardiovasc Thorac Surg
December 2024
Copenhagen Academy for Medical Education and Simulation (CAMES), Center for HR & Education, Denmark.
Background: Simulation-based training has gained distinction in cardiothoracic surgery, as robotic-assisted cardiac procedures evolve. Despite the increasing use of wet lab simulators, the effectiveness of these training methods and skill acquisition rates remain poorly understood.
Objective: This study aimed to compare learning curves and assess the robotic cardiac surgical skill acquisition rate for cardiac and noncardiac surgeons who had no robotic experience in a wet lab simulation setting.
Robotic mitral valve surgery: evolving history, techniques, and training paths.
Curr Opin Cardiol
January 2025
Department of Cardiac Surgery, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Purpose Of Review: Over the past 25 years, robotic-assisted mitral valve surgery has gained significant recognition because of its potential to minimize patient trauma and improve clinical outcomes. This field has evolved from early efforts in minimally invasive mitral procedures to more refined and technically sophisticated approaches, driven by the need for smaller incisions and reduced recovery times.
Recent Findings: This review will delve into the historical evolution of robotic-assisted mitral valve surgery, detailing the technical advancements that have shaped current practices and outlining the essential training pathways for a career as robotic mitral valve surgeon.
Comparing robotic, laparoscopic, and laparotomy in endometrial cancer: a network meta-analysis.
Int J Surg
December 2024
The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Background: This study aims to assess the comparative effectiveness and safety of robotic-assisted surgery (RAS), laparoscopy (LPS), and laparotomy (LPT) in improving perioperative indicators, lymph node dissection, and tumor survival outcomes in patients with Endometrial carcinoma (EC) through a systematic review and network meta-analysis.
Materials And Methods: We searched China National Knowledge Infrastructure, Wanfang, WeiPu, China Biology Medicine Disc, Embase, PubMed, Web of Science, and the Cochrane Library for randomized controlled trials (RCTs) and Cohort studies (CSs) involving RAS, LPS and LPT in individuals with EC. The network meta-analysis employed a Bayesian framework to integrate direct and indirect evidence, calculating Odds Ratios (OR) and Mean Difference (MD).
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