Cargando…
Artificial intelligence-driven assessment of radiological images for COVID-19
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients is expected to enable better control of the disease individually and at-large. There has been remarkable intere...
Autores principales: | Bouchareb, Yassine, Moradi Khaniabadi, Pegah, Al Kindi, Faiza, Al Dhuhli, Humoud, Shiri, Isaac, Zaidi, Habib, Rahmim, Arman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291996/ https://www.ncbi.nlm.nih.gov/pubmed/34343890 http://dx.doi.org/10.1016/j.compbiomed.2021.104665 |
Ejemplares similares
-
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
por: Moradi Khaniabadi, Pegah, et al.
Publicado: (2022) -
A NOVEL DIAGNOSIS AND SEVERITY PREDICTION ML-BASED MODEL: APPLICATION TO THE IDENTIFICATION AND PREDICTION OF COVID-19 FROM CT RADIOMIC FEATURES
por: Khaniabadi, Pegah Moradi, et al.
Publicado: (2022) -
Artificial Intelligence–Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance
por: Shiri, Isaac, et al.
Publicado: (2023) -
Radiologic Assessment of Orbital Dimensions among Omani Subjects: A computed tomography imaging-based study at a single tertiary centre
por: Al Ajmi, Eiman, et al.
Publicado: (2023) -
Radiological Study on Sesamoid Bones of the Foot among Omani Subjects
por: Al Shabibi, Ammar, et al.
Publicado: (2020)