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Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics

Ken Asada, Masaaki Komatsu, Ryo Shimoyama, Ken Takasawa, Norio Shinkai, Akira Sakai, Amina Bolatkan, Masayoshi Yamada, Satoshi Takahashi, Hidenori Machino, Kazuma Kobayashi, Syuzo Kaneko (+1 others)
2021 Journal of Personalized Medicine  
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide.  ...  In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been  ...  Acknowledgments: The authors express their gratitude to the past and present members of Hamamoto Laboratory. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jpm11090886 pmid:34575663 fatcat:bfwfr6kvxvgjtospw6ks6ibqbe

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Khushboo Munir, Hassan Elahi, Afsheen Ayub, Fabrizio Frezza, Antonello Rizzi
2019 Cancers  
The third part of this manuscript compiles the successfully applied deep learning models for different types of cancers.  ...  In particular, deep neural networks can be successfully used for intelligent image analysis.  ...  Then, there was a second ML classifier that operates this raw sound for LABS and image analysis for OBS.  ... 
doi:10.3390/cancers11091235 pmid:31450799 pmcid:PMC6770116 fatcat:ktuuttdu6zc7phj3mahp5yynxq

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. A unique citation identifier (CID) number is assigned to each article at the time of publication.  ...  The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  from motion on large scenes using UAV with position and pose information [10615-233] IMAGING SYSTEM AND MODELING 10615 3G An embedded multi-core parallel model for real-time stereo imaging [10615  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

Machine auscultation: enabling machine diagnostics using convolutional neural networks and large-scale machine audio data

Ruo-Yu Yang, Rahul Rai
2019 Advances in Manufacturing  
Efficient processing of real-time machine acoustic signals improves production quality.  ...  Microphones are used to collect acoustic data for training models from a computer numeric control (CNC) lathe. Numerical experiments demonstrate that CNN performs better than the BP-NN.  ...  Introduction Auscultation is the act of listening to the internal sounds of organs such as the heart and lungs for diagnosing pathological disorders.  ... 
doi:10.1007/s40436-019-00254-5 fatcat:nitk52hzcnchlfosx4smzgwduq

Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic

Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, Eslam Amer, Farman Ali, Jong-Wan Hu, Shaker El-Sappagh
2021 Diagnostics  
Five significant applications of AI for COVID-19 were found, including (1) COVID-19 diagnosis using various data types (e.g., images, sound, and text); (2) estimation of the possible future spread of the  ...  The main objective of this study is to survey the decisive role of AI as a technology used to fight against the COVID-19 pandemic.  ...  DNN was applied to a large scale of real-time data aggregated via smartphone sensors to estimate the risk level [112] .  ... 
doi:10.3390/diagnostics11071155 pmid:34202587 pmcid:PMC8303306 fatcat:ne2tivgcbrfa7kvtrhaqzgkoba

Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges

Rama Rao Kvsn, James Montgomery, Saurabh Garg, Michael Charleston
2020 IEEE Access  
Biodiversity monitoring has become a critical task for governments and ecological research agencies for reducing significant loss of animal species.  ...  We also present a comprehensive survey of bioacoustics data analysis approaches with an emphasis on bird species identification.  ...  Towards this direction, Juang and Chen proposed a prediction based singleton-type recurrent fuzzy neural network model to address scaling and complexity issues.  ... 
doi:10.1109/access.2020.2978547 fatcat:nk3dcbv2evbpdp6g4fbovccqla

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19 [article]

Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu
2021 arXiv   pre-print
This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19 with the goal of inspiring researchers to continue  ...  In addition, we summarize the available data and resources that can be used for AI-based COVID-19 research.  ...  For example, infrared cameras are used to scan for high temperatures in a crowd, and different AI methods perform efficient analysis to detect whether an individual is wearing a mask in real time.  ... 
arXiv:2007.02202v2 fatcat:ss6r2ijaq5d7hi6qlrpwcnltvi

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  Navigation of a Microrobot; TII July 2020 4557-4566 Meng, Q., see Cai, H., TII Jan. 2020 587-594 Meng, Q., see Dong, H., TII Dec. 2020 7448-7458 Meng, W., see Choo, K.R., TII June 2020 4119-4121  ...  ., +, TII June 2020 3849-3861 Real-Time Switched Model Predictive Control for a Cyber-Physical Wind Turbine Emulator.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review [article]

Hamid Reza Boveiri, Raouf Khayami, Reza Javidan, Ali Reza MehdiZadeh
2020 arXiv   pre-print
This review allows a deep understanding and insight for the readers active in the field who are investigating the state-of-the-art and seeking to contribute the future literature.  ...  Key concepts, statistical analysis from different points of view, confiding challenges, novelties and main contributions, key-enabling techniques, future directions and prospective trends all are discussed  ...  The running time was about 100ms on a typical system showing high potentially for real-time clinical use.  ... 
arXiv:2002.03401v1 fatcat:u4utrifr2rg3bf6x6fgohyfmpy

Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, Nitisha Shrivastava, Richa Virmani, Tavpritesh Sethi
2021 Pathogens  
Advances in AI methods have created an unprecedented opportunity for building agile surveillance systems using the deluge of real-time data generated within a short span of time.  ...  for real-life deployment in healthcare.  ...  Acknowledgments: The authors would like to thank Andaleeb Sajid for the critical reading of the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/pathogens10081048 pmid:34451513 pmcid:PMC8399076 fatcat:jbr57fvnivd3fkix2n2y477xce

On Interpretability of Artificial Neural Networks: A Survey [article]

Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang
2021 arXiv   pre-print
, and discuss future directions of interpretability research, such as in relation to fuzzy logic and brain science.  ...  However, the black-box nature of DNNs has become one of the primary obstacles for their wide acceptance in mission-critical applications such as medical diagnosis and therapy.  ...  The authors are grateful for Dr. Hongming Shan's suggestions (Fudan University) and anonymous reviewers' advice.  ... 
arXiv:2001.02522v4 fatcat:pxa66n2wfjcbxfwc3k5gm3r2xa

Modality specific U-Net variants for biomedical image segmentation: A survey [article]

Narinder Singh Punn, Sonali Agarwal
2022 arXiv   pre-print
of diseases such as brain tumor, lung cancer, alzheimer, breast cancer, etc., using various modalities.  ...  In recent studies, U-Net based approaches have illustrated state-of-the-art performance in different applications for the development of computer-aided diagnosis systems for early diagnosis and treatment  ...  Acknowledgment We thank our institute, Indian Institute of Information Technology Allahabad (IIITA), India and Big Data Analytics (BDA) lab for allocating the necessary  ... 
arXiv:2107.04537v4 fatcat:m5oqea5q6vhbhkerjmejder3hu

Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19

Hanan Farhat, George E. Sakr, Rima Kilany
2020 Machine Vision and Applications  
Yet, coronavirus can be the real trigger to open the route for fast integration of DL in hospitals and medical centers.  ...  Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend.  ...  [217] covered the entire pipeline of AI medical imaging analysis techniques for COVID-19.  ... 
doi:10.1007/s00138-020-01101-5 pmid:32834523 pmcid:PMC7386599 fatcat:tkkylrptc5hkpoj52hjs3kuttu

A Comprehensive Review on Seismocardiogram: Current Advancements on Acquisition, Annotation, and Applications

Deepak Rai, Hiren Kumar Thakkar, Shyam Singh Rajput, Jose Santamaria, Chintan Bhatt, Francisco Roca
2021 Mathematics  
, deep learning, artificial neural networks, and fuzzy logic.  ...  Cardiac vibrations yield a wide and rich spectrum of essential information regarding the functioning of the heart, and thus it is necessary to take advantage of this data to better monitor cardiac health  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math9182243 fatcat:uiwrndfe3jdgvebrvxdclrxg3q

Different Data Mining Approaches Based Medical Text Data

Wenke Xiao, Lijia Jing, Yaxin Xu, Shichao Zheng, Yanxiong Gan, Chuanbiao Wen, Óscar Belmonte Fernández
2021 Journal of Healthcare Engineering  
The amount of medical text data is increasing dramatically. Medical text data record the progress of medicine and imply a large amount of medical knowledge.  ...  We also explored the applications of algorithms for providing insights to the users and enabling them to use the resources for the specific challenges in medical text data.  ...  intuitive and unstructured information, and has the characteristics of self-adaption, self-organizing, and real-time learning.  ... 
doi:10.1155/2021/1285167 pmid:34912530 pmcid:PMC8668297 fatcat:sr6zc5lfpvabdfgcd57uif76m4
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