Journal of Medical and Biological Engineering This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research

Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4 (Source: Journal of Medical and Biological Engineering)
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research