Filters








1,230 Hits in 7.0 sec

Artificial Intelligence for COVID-19: A Systematic Review

Lian Wang, Yonggang Zhang, Dongguang Wang, Xiang Tong, Tao Liu, Shijie Zhang, Jizhen Huang, Li Zhang, Lingmin Chen, Hong Fan, Mike Clarke
2021 Frontiers in Medicine  
This study systematically reviews the application of Artificial Intelligence (AI) techniques in COVID-19, especially for diagnosis, estimation of epidemic trends, prognosis, and exploration of effective  ...  and safe drugs and vaccines; and discusses the potential limitations.Methods: We report this systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)  ...  Well-trained artificial intelligence models can ensure accurate and rapid diagnosis or assist doctors to streamline the diagnosis and reduce manual labor (13, 14) .  ... 
doi:10.3389/fmed.2021.704256 pmid:34660623 pmcid:PMC8514781 fatcat:gyuebp45czhyrhiq54pnxmx5na

Application of artificial intelligence in COVID-19 medical area: a systematic review

Zhoulin Chang, Zhiqing Zhan, Zifan Zhao, Zhixuan You, Yang Liu, Zhihong Yan, Yong Fu, Wenhua Liang, Lei Zhao
2021 Journal of Thoracic Disease  
Multimodal data drove artificial intelligence (AI) can potentially be the option.  ...  This paper reviewed the literature on the intersection of AI and medicine to analyze and compare different AI model applications in the COVID-19 Pandemic, evaluate their effectiveness, show their advantages  ...  Acknowledgments original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.  ... 
doi:10.21037/jtd-21-747 pmid:35070385 pmcid:PMC8743418 fatcat:sov47zddz5firozp3vbikjbnfm

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

Theresa A Koleck, Caitlin Dreisbach, Philip E Bourne, Suzanne Bakken
2019 JAMIA Journal of the American Medical Informatics Association  
We aim to synthesize the literature on the use of NLP to process or analyze symptom information documented in EHR free-text narratives.  ...  Natural language processing (NLP) of symptoms from electronic health records (EHRs) could contribute to the advancement of symptom science.  ...  SB), Advancing Chronic Condition Symptom Cluster Science Through Use of Electronic Health Records and Data Science Techniques K99NR017651 to TAK), and Influence of Maternal Obesity on Microbial Function  ... 
doi:10.1093/jamia/ocy173 pmid:30726935 pmcid:PMC6657282 fatcat:hrvoqhsofzemxag6w2to3mi57y

COVID-19 prediction models: a systematic literature review

Sheikh Muzaffar Shakeel, Nithya Sathya Kumar, Pranita Pandurang Madalli, Rashmi Srinivasaiah, Devappa Renuka Swamy
2021 Osong Public Health and Research Perspectives  
A systematic literature review is reported, based on a manual search of 1,196 papers published from January to December 2020.  ...  The search strategy was formulated and refined in terms of subject keywords, geographical purview, and time period according to a predefined protocol.  ...  In this paper, we present a systematic review and analysis of these models as presented in the literature.  ... 
doi:10.24171/j.phrp.2021.0100 pmid:34465071 pmcid:PMC8408413 fatcat:n4k44rgrxzfw5ownf3tkfyc2ye

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review [article]

Felipe Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali Gupte, May D. Wang
2021 arXiv   pre-print
This systematic review examines the use of Explainable Artificial Intelligence (XAI) during the pandemic and how its use could overcome barriers to real-world success.  ...  We find that successful use of XAI can improve model performance, instill trust in the end-user, and provide the value needed to affect user decision-making.  ...  Siva Bhavani from Emory University for his insights on leveraging artificial intelligence in clinical practice. We would like to thank Mr.  ... 
arXiv:2112.12705v2 fatcat:pji2saeikbeq7phmygphbomm5e

A systematic review of the case findings, testing and management of COVID-19

Dewi Susanna, Dian Pratiwi, Sang Gede Purnama
2022 F1000Research  
This review aimed to examine the outcome of the existing studies on the ways of identifying COVID-19 cases, and determine the populations at risk, symptom and diagnostic test management of COVID-19.  ...  However, 62% of the articles used a rapid antibody test for screening rather than a rapid antigen test.  ...  The authors also gratefully acknowledge the Library of Universitas Indonesia for providing the databases used in this review.  ... 
doi:10.12688/f1000research.50929.2 fatcat:fkrmycwzjrhx5ahtqpv3o433pi

The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review

Asma Channa, Nirvana Popescu, Justyna Skibinska, Radim Burget
2021 Sensors  
In this systematic review, we analyzed these wearables and their need in the healthcare system.  ...  This systematic review provides an extensive overview of wearable systems for the remote management and automated assessment of COVID-19, taking into account the reliability and acceptability of the implemented  ...  Use of Artificial Intelligence for the Diagnosis and Prevention of COVID-19 Strategies employed using artificial intelligence (AI) and deep learning (DL) approaches can speed up the screening of the spread  ... 
doi:10.3390/s21175787 pmid:34502679 pmcid:PMC8434481 fatcat:kkrct46d7zd5pgxgk4sgdfekzm

Applicability of lung ultrasound in COVID-19 diagnosis and evaluation of the disease progression: A systematic review

Andressa Oliveira Peixoto, Rafael Miranda Costa, Raísa Uzun, Andrea de Melo Alexandre Fraga, José Dirceu Ribeiro, Fernando Augusto Lima Marson
2021 Pulmonology  
With the increase in the number of studies and the use of ultrasound scans, LU has been shown as a useful tool to evaluate progression, therapeutic response and follow-up of pulmonary disease in the patients  ...  The period covered by the search was November 2019 to October 2020 and the papers selected reported LU in COVID-19. Forty-three studies were selected to produce this systematic review.  ...  Acknowledgments The authors are grateful to the professionals in the teams of the referenced pediatric urgency and emergency and pediatric pulmonology units as well as to the University of Campinas radiology  ... 
doi:10.1016/j.pulmoe.2021.02.004 pmid:33931378 pmcid:PMC7983424 fatcat:vnrwnfpvlbc7tdwxij3uelchgu

The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis

Meisam Moezzi, Kiarash Shirbandi, Hassan Kiani Shahvandi, Babak Arjmand, Fakher Rahim
2021 Informatics in Medicine Unlocked  
Artificial intelligence (AI) systems have become critical in support of decision-making.  ...  AI in COVID-19 patients is useful in identifying symptoms of lung involvement.  ...  Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi. org/10.1016/j.imu.2021.100591.  ... 
doi:10.1016/j.imu.2021.100591 pmid:33977119 pmcid:PMC8099790 fatcat:mluhgxfhdrch7p537vwqrmgxpq

Application of Smartphone Technologies in Disease Monitoring: A Systematic Review

Jeban Chandir Moses, Sasan Adibi, Sheikh Mohammed Shariful, Nilmini Wickramasinghe, Lemai Nguyen
2021 Healthcare  
We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010  ...  We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease.  ...  Moreover, the application of machine learning, which is a branch of artificial intelligence using a large amount of digital data, could extract new knowledge that could help healthcare practitioners make  ... 
doi:10.3390/healthcare9070889 fatcat:nsxjpda5eze4lp5wwb2ojiljki

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Malak Abdullah Almarshad, Md Saiful Islam, Saad Al-Ahmadi, Ahmed S. BaHammam
2022 Healthcare  
This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects  ...  To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain.  ...  Acknowledgments: The authors would like to thank the Deanship of Scientific Research at King Saud University for funding and supporting this research through the initiative of DSR Graduate Students Research  ... 
doi:10.3390/healthcare10030547 pmid:35327025 pmcid:PMC8950880 fatcat:o4l7bdpkanhyvpxcwej6zuxjue

AI-driven deep learning method for diagnosing COVID-19 symptoms

2021 International journal for innovative engineering and management research  
This treatise provides a response to virus eradication via artificial intelligence (AI).  ...  A major advantage of these AI-powered platforms is to facilitate the diagnosis and treatment process of the COVID-19 disease.  ...  This justifies how and to what degree Artificial Intelligence (AI) might be critical in developing and improvement health care systems on a global scale [9] .  ... 
doi:10.48047/ijiemr/v10/i11/07 fatcat:gjronnkqvjgh3nf2drpv7p4xha

Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

Gleidson Sobreira Leite, Adriano Bessa Albuquerque, Plácido Rogerio Pinheiro
2021 International Journal of Environmental Research and Public Health  
For this purpose, this paper presents a systematic review of the literature on the application of technological solutions in the primary ways of respiratory infectious diseases transmission prevention.  ...  Findings showed a greater trend in studies related to pandemic planning and, among the support mechanisms adopted, data and mathematical application-related solutions received greater attention.  ...  In this paper, the design, execution and findings of a systematic review of the literature are presented, aiming at a systematic identification, selection and summarization of a comprehensive set of approaches  ... 
doi:10.3390/ijerph182010765 pmid:34682511 fatcat:drvsrdvj4nftvgfyj2kkcrgmx4

COVID-19 and the cardiovascular system: a systematic review of the clinical trial landscape

Hendre Fichardt, Gail Fernandes, Anand Prasad
2021 Journal of Xiangya Medicine  
At the end of 2019, a novel coronavirus was identified as the cause of a cluster of pneumonia cases in Wuhan, China.  ...  Our objective is to do a systematic review of the existing trials registered with ClinicalTrials.gov related to COVID-19 and the cardiovascular (CV) system.  ...  One study (Parati et al., study #68 in Table S1 ) uses artificial intelligence to create a risk scoring system taking into account various clinical and laboratory findings to predict in-hospital outcomes  ... 
doi:10.21037/jxym-20-110 fatcat:5hjp5oqyjzgidkow4rmlrmdjwi

Big data analytics as a tool for fighting pandemics: a systematic review of literature

Alana Corsi, Fabiane Florencio de Souza, Regina Negri Pagani, João Luiz Kovaleski
2020 Journal of Ambient Intelligence and Humanized Computing  
To achieve this purpose, a systematic review of literature was carried out using the methodology Methodi Ordinatio.  ...  The rigorous search resulted in a portfolio of 45 articles, retrived from scientific databases. For the collection and analysis of data, the softwares NVivo 12 and VOSviewer were used.  ...  Acknowledgements The present study was carried out with support from the Higher Education Personnel Improvement Coordination-Brazil (CAPES)-Financing Code 001.  ... 
doi:10.1007/s12652-020-02617-4 pmid:33144892 pmcid:PMC7595572 fatcat:d3scrjy7qbe3jfycfzd3ynztj4
« Previous Showing results 1 — 15 out of 1,230 results