Cargando…

Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray

Endotracheal tubes (ETTs) provide a vital connection between the ventilator and patient; however, improper placement can hinder ventilation efficiency or injure the patient. Chest X-ray (CXR) is the most common approach to confirming ETT placement; however, technicians require considerable expertise...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yuan, Kuo-Ching, Tsai, Lung-Wen, Lai, Kevin S., Teng, Sing-Teck, Lo, Yu-Sheng, Peng, Syu-Jyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534985/ https://www.ncbi.nlm.nih.gov/pubmed/34679542 http://dx.doi.org/10.3390/diagnostics11101844

Ejemplares similares

Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach
por: Tsai, Lung-Wen, et al.
Publicado: (2022)

Double-Lumen Endotracheal Tube—Predicting Insertion Depth and Tube Size Based on Patient’s Chest X-ray Image Data and 4 Other Body Parameters
por: Chang, Tsai-Rong, et al.
Publicado: (2022)

A robust approach for endotracheal tube localization in chest radiographs
por: Hsu, Chung-Chian, et al.
Publicado: (2023)

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
por: Tan, Tao, et al.
Publicado: (2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
por: Kim, Chris K., et al.
Publicado: (2022)

Artificial Intelligence for Early Detection of Chest Nodules in X-ray Images
por: Chiu, Hwa-Yen, et al.
Publicado: (2022)

Chest X-ray Foreign Objects Detection Using Artificial Intelligence
por: Kufel, Jakub, et al.
Publicado: (2023)

Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification
por: Sun, Hongfei, et al.
Publicado: (2022)

Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru
por: Biewer, Amanda, et al.
Publicado: (2023)

All endotracheal tubes that appear endotracheal are not so!
por: Hegde, Harihar V
Publicado: (2014)

Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
por: Tsiknakis, Nikos, et al.
Publicado: (2020)

Artificial Intelligence–assisted chest X-ray assessment scheme for COVID-19
por: Rangarajan, Krithika, et al.
Publicado: (2021)

Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
por: Irmici, Giovanni, et al.
Publicado: (2023)

Implementation of Artificial Intelligence–Assisted Chest X-ray Interpretation: It Is About Time
por: Ram, Sundaresh, et al.
Publicado: (2023)

In vitro comparison of the standard and the Cole endotracheal tubes with an endotracheal tube of new design
por: Stankiewicz, B, et al.
Publicado: (2006)

Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea
por: Liong-Rung, Liu, et al.
Publicado: (2022)

Artificial intelligence may enhance emergency triage and management
por: Craca, Michelangelo, et al.
Publicado: (2023)

Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis
por: Nsengiyumva, Ntwali Placide, et al.
Publicado: (2021)

Nasogastric tube coiled around endotracheal tube
por: Acharya, Gaurav, et al.
Publicado: (2014)

Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia
por: Salvatore, Christian, et al.
Publicado: (2021)

The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination
por: Geric, C., et al.
Publicado: (2023)

Pediatric cuffed endotracheal tubes
por: Bhardwaj, Neerja
Publicado: (2013)

Extubation and Changing Endotracheal Tubes
por: Cooper, Richard M.
Publicado: (2007)

The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model
por: Levine, David M, et al.
Publicado: (2023)

APPRAISE-HRI: AN ARTIFICIAL INTELLIGENCE ALGORITHM FOR TRIAGE OF HEMORRHAGE CASUALTIES
por: Stallings, Jonathan D., et al.
Publicado: (2023)

Position Classification of the Endotracheal Tube with Automatic Segmentation of the Trachea and the Tube on Plain Chest Radiography Using Deep Convolutional Neural Network
por: Jung, Heui Chul, et al.
Publicado: (2022)

Are chest X-rays necessary after chest tube insertion in trauma emergencies?
por: Moeng, MS
Publicado: (2009)

Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
por: López-Cabrera, José Daniel, et al.
Publicado: (2021)

Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence
Publicado: (2021)

Artificial intelligence and IoT based prediction of Covid-19 using chest X-ray images
por: Gupta, Surbhi, et al.
Publicado: (2022)

Classification of Central Venous Catheter Tip Position on Chest X-ray Using Artificial Intelligence
por: Jung, Seungkyo, et al.
Publicado: (2022)

Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques
por: Islam, Rumana, et al.
Publicado: (2022)

Analyzing Overlaid Foreign Objects in Chest X-rays—Clinical Significance and Artificial Intelligence Tools
por: Roy, Shotabdi, et al.
Publicado: (2023)

Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges
por: Fanni, Salvatore Claudio, et al.
Publicado: (2023)

Artificial Intelligence Based COVID-19 Detection and Classification Model on Chest X-ray Images
por: Althaqafi, Turki, et al.
Publicado: (2023)

Support Systems of Clinical Decisions in the Triage of the Emergency Department Using Artificial Intelligence: The Efficiency to Support Triage
por: Karlafti, Eleni, et al.
Publicado: (2023)

Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach
por: Kara, Su, et al.
Publicado: (2021)

Do endotracheal tubes prevent microaspiration?
por: Lichtenthal, P, et al.
Publicado: (2010)

Endotracheal tube fire during tracheostomy
por: Lee, Eunju, et al.
Publicado: (2012)

Stuck suction catheter in endotracheal tube
por: Raut, Monish S., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_gqnn6qtutvjs3g4av7lr1p70aj