Cargando…

Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea

Pneumonia and pulmonary edema are the most common causes of acute respiratory failure in emergency and intensive care. Airway maintenance and heart function preservation are two foundations for resuscitation. Laboratory examinations have been utilized for clinicians to early differentiate pneumonia...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liong-Rung, Liu, Hung-Wen, Chiu, Ming-Yuan, Huang, Shu-Tien, Huang, Ming-Feng, Tsai, Chia-Yu, Chang, Kuo-Song, Chang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204035/ https://www.ncbi.nlm.nih.gov/pubmed/35721050 http://dx.doi.org/10.3389/fmed.2022.893208

Ejemplares similares

Deep convolutional neural network for rib fracture recognition on chest radiographs
por: Huang, Shu-Tien, et al.
Publicado: (2023)

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

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

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

Chest ultrasounds and X-rays compared in patients with acute dyspnea in an Emergency Department
por: Martino, IF, et al.
Publicado: (2014)

Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray
por: Yuan, Kuo-Ching, et al.
Publicado: (2021)

Artificial Intelligence-Assisted Chest X-ray for the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis
por: Tzeng, I-Shiang, et al.
Publicado: (2023)

Lung Ultrasound: A Complementary Imaging Tool for Chest X-Ray in the Evaluation of Dyspnea
por: Murali, Aparna, et al.
Publicado: (2023)

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)

COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence
por: Khan, Muhammad Attique, et al.
Publicado: (2022)

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)

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)

Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
por: Sharma, Arun, et al.
Publicado: (2020)

Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings
por: Hipolito Canario, Diego A., et al.
Publicado: (2022)

A Literature Review on the Use of Artificial Intelligence for the Diagnosis of COVID-19 on CT and Chest X-ray
por: Mulrenan, Ciara, et al.
Publicado: (2022)

A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images
por: Almalki, Yassir Edrees, et al.
Publicado: (2021)

Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation
por: Baltruschat, Ivo, et al.
Publicado: (2020)

Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study
por: Miró Catalina, Queralt, et al.
Publicado: (2022)

A cancer patient with dyspnea and facial swelling
por: Chiu, Yu‐Chen, et al.
Publicado: (2020)

Intraprocedure Artificial Intelligence Alert System for Colonoscopy Examination
por: Hsu, Chen-Ming, et al.
Publicado: (2023)

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction
por: Huang, Yu-Chang, et al.
Publicado: (2023)

Web- and Artificial Intelligence–Based Image Recognition For Sperm Motility Analysis: Verification Study
por: Tsai, Vincent FS, et al.
Publicado: (2020)

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
por: Huang, Jonathan, et al.
Publicado: (2023)

Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review
por: Kufel, Jakub, et al.
Publicado: (2022)

The development and validation of an artificial intelligence-based screening method for atrial septal defect in children's chest x-rays
por: Zhixin, Li, et al.
Publicado: (2023)

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
por: Jiao, Zhicheng, et al.
Publicado: (2021)

The Barthel index-dyspnea: a new two-dimensional dyspnea scale
por: Chuang, Ming-Lung
Publicado: (2016)

Clinical Characteristics of COVID-19 Patients and Application to an Artificial Intelligence System for Disease Surveillance
por: Wang, Ying-Chuan, et al.
Publicado: (2022)

Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD
por: Yang, Yingjian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_6lgo04mn4ibti34mjfq60he6bf