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Learning Curve of Microsurgical Anastomosis: Training for Resident Education.
J Am Acad Orthop Surg
January 2025
From the Department of Orthopaedic Surgery, Dankook University Hospital, Dankook University College of Medicine, Cheonan, South Korea.
Background: Acquiring microsurgical anastomosis skills requires considerable time and effort. Moreover, appropriate and systematic training for acquiring microsurgical anastomosis skills is lacking. Therefore, this study investigated the learning curve for acquiring microsurgical anastomosis techniques among orthopaedic surgery residents.
View Article and Find Full Text PDFPlasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network.
Comput Biol Med
December 2024
Department of Physiology, Ajou University School of Medicine, Suwon, 16499, Republic of Korea; Department of Biomedical Science, Graduate School of Ajou University, Suwon, 16499, Republic of Korea; Ajou Translational Omics Center, Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, 16499, Republic of Korea. Electronic address:
Article Synopsis
- Mild cognitive impairment (MCI) is an early sign of dementia that requires tailored treatment based on its subtypes, namely Alzheimer's-related cognitive impairment (ADCI) and subcortical vascular cognitive impairment (SVCI).
- Recent advancements using plasma protein biomarkers and machine learning (ML) can enhance the diagnosis and management of MCI by revealing subtype characteristics, although many existing ML approaches fail to account for important protein-protein interactions (PPIs).
- The study introduces a new ML model called the eXplainable Graph Propagational Network (XGPN), which better captures global interactions between proteins, leading to improved classification of MCI subtypes with explainable results.
Longitudinal accelerated brain age in mild cognitive impairment and Alzheimer's disease.
Front Aging Neurosci
October 2024
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
Introduction: Brain age is a machine learning-derived estimate that captures lower brain volume. Previous studies have found that brain age is significantly higher in mild cognitive impairment and Alzheimer's disease (AD) compared to healthy controls. Few studies have investigated changes in brain age longitudinally in MCI and AD.
View Article and Find Full Text PDFOptimizing anemia management using artificial intelligence for patients undergoing hemodialysis.
Sci Rep
November 2024
Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, 156, Baengnyeong-ro, Chuncheon, 24289, Gangwon-do, Republic of Korea.
Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglobin (Hb) levels within a targeted range using erythropoiesis-stimulating agents (ESAs) is challenging. This study introduces a gated recurrent unit-attention-based module (GAM) for efficient anemia management among patients undergoing chronic dialysis and proposes a novel alert system for anticipating the need for red blood cell transfusions. Data on demographic characteristics, dialysis metrics, drug administration, laboratory tests, and transfusion history were retrospectively collected from patients undergoing hemodialysis at Kangwon National University Hospital between 2017 and 2022.
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