Cargando…

Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence

Infection with SARS-CoV-2 has dominated discussion and caused global healthcare and economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19) causes mild-to-moderate symptoms in most individuals. However, rapid deterioration to severe disease with or without acute respiratory distre...

Descripción completa

Detalles Bibliográficos
Autores principales:	Laino, Maria Elena, Ammirabile, Angela, Lofino, Ludovica, Lundon, Dara Joseph, Chiti, Arturo, Francone, Marco, Savevski, Victor
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2022
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769787/ https://www.ncbi.nlm.nih.gov/pubmed/35048222 http://dx.doi.org/10.1007/s10140-021-02008-y

Ejemplares similares

Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review
por: Laino, Maria Elena, et al.
Publicado: (2022)

The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
por: Laino, Maria Elena, et al.
Publicado: (2021)

Advanced Imaging Supports the Mechanistic Role of Autoimmunity and Plaque Rupture in COVID-19 Heart Involvement
por: Laino, Maria Elena, et al.
Publicado: (2022)

Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment
por: Chatzitofis, Anargyros, et al.
Publicado: (2021)

Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs
por: Gozzi, Noemi, et al.
Publicado: (2022)

Factors Associated with ICU Admission following Blunt Chest Trauma
por: Bellone, Andrea, et al.
Publicado: (2016)

Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas
por: Morandini, Pierandrea, et al.
Publicado: (2022)

Artificial Intelligence in Infection Management in the ICU
por: De Corte, Thomas, et al.
Publicado: (2022)

The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review
por: Li, Dana, et al.
Publicado: (2021)

Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
por: Sollini, Martina, et al.
Publicado: (2019)

Reducing ICU blood draws with artificial intelligence
por: Cismondi, FC, et al.
Publicado: (2012)

Artificial intelligence to reduce practice variation in the ICU
por: Celi, LA, et al.
Publicado: (2008)

Usefulness of Hospital Admission Chest X-ray Score for Predicting Mortality and ICU Admission in COVID-19 Patients
por: Hoang-Thi, Trieu-Nghi, et al.
Publicado: (2022)

Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
por: Lancellotti, Cesare, et al.
Publicado: (2021)

Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission
por: Mora-Jiménez, Inmaculada, et al.
Publicado: (2021)

Sudden neck swelling with rash as late manifestation of COVID-19: a case report
por: Giannitto, Caterina, et al.
Publicado: (2021)

ICU admission and favipiravir
por: Mungmunpuntipantip, Rujittika, et al.
Publicado: (2021)

Artificial Intelligence-Based Detection of Pneumonia in Chest Radiographs
por: Becker, Judith, et al.
Publicado: (2022)

Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients
por: Bellos, Ioannis, et al.
Publicado: (2021)

Additional value of chest CT AI-based quantification of lung involvement in predicting death and ICU admission for COVID-19 patients
por: Galzin, Eloise, et al.
Publicado: (2022)

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
por: Harmon, Stephanie A., et al.
Publicado: (2020)

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
por: Li, Lin, et al.
Publicado: (2020)

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
por: Ozsahin, Ilker, et al.
Publicado: (2020)

Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma)
por: Lau, Vincent I., et al.
Publicado: (2021)

Using artificial intelligence to assess personal qualities in college admissions
por: Lira, Benjamin, et al.
Publicado: (2023)

Artificial Intelligence in Cardiovascular CT and MR Imaging
por: Lanzafame, Ludovica R. M., et al.
Publicado: (2023)

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results
por: Delpino, Felipe Mendes, et al.
Publicado: (2023)

Influence of ICU-bed availability on ICU admission decisions
por: Robert, René, et al.
Publicado: (2015)

Regarding "Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT"
por: Dadário, Andrew Maranhão Ventura, et al.
Publicado: (2020)

Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning
por: Liang, Fukui, et al.
Publicado: (2021)

The Predictive Role of Artificial Intelligence-Based Chest CT Quantification in Patients with COVID-19 Pneumonia
por: Szabó, István Viktor, et al.
Publicado: (2021)

Human–machine partnership with artificial intelligence for chest radiograph diagnosis
por: Patel, Bhavik N., et al.
Publicado: (2019)

COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence
por: Baruah, Dhiraj, et al.
Publicado: (2022)

The impact of artificial intelligence on the reading times of radiologists for chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2023)

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

Can ICU admission be predicted?
por: Orwelius, L, et al.
Publicado: (2010)

Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT
por: Kirienko, Margarita, et al.
Publicado: (2018)

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)

Retracted: Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning
por: Healthcare Engineering, Journal of
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_mcr11kqf9b6pglqqd9bb2jc1l2