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Use of Machine Learning Models to Predict Microaspiration Measured by Tracheal Pepsin A.
Am J Crit Care
January 2025
Mary Lou Sole is dean, professor, and Orlando Health Endowed Chair in Nursing, University of Central Florida College of Nursing, Orlando.
Background: Enteral feeding intolerance, a common type of gastrointestinal dysfunction leading to underfeeding, is associated with increased mortality. Tracheal pepsin A, an indicator of microaspiration, was found in 39% of patients within 24 hours of enteral feeding. Tracheal pepsin A is a potential biomarker of enteral feeding intolerance.
View Article and Find Full Text PDFBackground: We investigate the feasibility of using artificial intelligence (AI) to identify the recurrent laryngeal nerve (RLN) during endoscopic thyroid surgery and evaluated its accuracy.
Methods: In this retrospective study, we develop an AI model using a dataset of endoscopic thyroid surgery videos, including hemithyroidectomy procedures performed between April 2019 and September 2023 at the National Cancer Center Hospital East, Chiba, Japan. Semantic segmentation deep learning methods were applied to analyze the endoscopic thyroid surgery videos.
Transplantation of Human Induced Pluripotent Stem Cell-Derived Airway Epithelia at Different Induction Stages into Nude Rat.
Cell Reprogram
December 2024
Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tracheal reconstruction is necessary in patients with large tracheal defects. Previously, artificial tracheae made of polypropylene and collagen sponge have been used clinically by our group. As a basic research aimed at promoting epithelialization for infection defense, we transplanted cell sheets of human induced pluripotent stem cell (hiPSC)-derived airway epithelial cells (iAECs) with artificial tracheae into tracheal defects of rats and confirmed their engraftment.
View Article and Find Full Text PDFHybrid 3D bioprinting for advanced tissue-engineered trachea: merging fused deposition modeling (FDM) and top-down digital light processing (DLP).
Biofabrication
November 2024
Nano-Bio Regenerative Medical Institute, College of Medicine, Hallym University, Chuncheon, 24252, Republic of Korea.
In this present study, we introduce an innovative hybrid 3D bioprinting methodology that integrates fused deposition modeling (FDM) with top-down digital light processing (DLP) for the fabrication of an artificial trachea. Initially, polycaprolactone (PCL) was incorporated using an FDM 3D printer to provide essential mechanical support, replicating the structure of tracheal cartilage. Subsequently, a chondrocyte-laden glycidyl methacrylated silk fibroin hydrogel was introduced via top-down DLP into the PCL scaffold (PCL-Sil scaffold).
View Article and Find Full Text PDFSensory artificial cilia for in situ monitoring of airway physiological properties.
Proc Natl Acad Sci U S A
November 2024
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212.
Continuously monitoring human airway conditions is crucial for timely interventions, especially when airway stents are implanted to alleviate central airway obstruction in lung cancer and other diseases. Mucus conditions, in particular, are important biomarkers for indicating inflammation and stent patency but remain challenging to monitor. Current methods, reliant on computational tomography imaging and bronchoscope inspection, pose risks due to radiation and lack the ability to provide continuous real-time feedback outside of hospitals.
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