Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (7968)
All Articles published online
|
Publishing Process of This Article
|
Jun 5, 2020 (publication date) through Nov 24, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Critical Care Medicine
ISSN
2220-3141
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Lal A, Pinevich Y, Gajic O, Herasevich V, Pickering B. Artificial intelligence and computer simulation models in critical illness. World J Crit Care Med 2020; 9(2): 13-19 [PMID: 32577412 DOI: 10.5492/wjccm.v9.i2.13] |
|---|---|
| URL: | https://www.wjgnet.com/2220-3141/full/v9/i2/13.htm |
| Number | Citing Articles |
| 1 |
Vimal Bibhu, Lipsa Das, Ajay Rana, Silky Sharma, Shallaja Salagrama. AI Models for Blockchain-Based Intelligent Networks in IoT Systems. Engineering Cyber-Physical Systems and Critical Infrastructures 2023; 6: 163 doi: 10.1007/978-3-031-31952-5_8
|
| 2 |
David B. Resnik, Mohammad Hosseini. The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool. AI and Ethics 2024; doi: 10.1007/s43681-024-00493-8
|
| 3 |
Johnny Dang, Amos Lal, Amy Montgomery, Laure Flurin, John Litell, Ognjen Gajic, Alejandro Rabinstein, Anna Cervantes-Arslanian, Chris Marcellino, Chris Robinson, Christopher L. Kramer, David W. Freeman, David Y. Hwang, Edward Manno, Eelco Wijdicks, Jason Siegel, Jennifer Fugate, Joao A. Gomes, Joseph Burns, Kevin Gobeske, Maximiliano Hawkes, Philippe Couillard, Sara Hocker, Sudhir Datar, Tia Chakraborty. Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit. BMC Neurology 2023; 23(1) doi: 10.1186/s12883-023-03192-9
|
| 4 |
Phillip J. Gary, Amos Lal, Douglas A. Simonetto, Ognjen Gajic, Alice Gallo de Moraes. Acute on chronic liver failure: prognostic models and artificial intelligence applications. Hepatology Communications 2023; 7(4) doi: 10.1097/HC9.0000000000000095
|
| 5 |
Sabri Atalay, Ufuk Sönmez. Digital Twin Driven Intelligent Systems and Emerging Metaverse. 2023; : 209 doi: 10.1007/978-981-99-0252-1_10
|
| 6 |
Zhongheng Zhang, Nan Liu, Qinghe Meng, Longxiang Su. Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I. Frontiers in Medicine 2021; 8 doi: 10.3389/fmed.2021.809478
|
| 7 |
Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen Thomas Vernon, David Winlaw, Stuart M. Grieve, Alistair McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O’Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern. The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field. npj Digital Medicine 2022; 5(1) doi: 10.1038/s41746-022-00640-7
|
| 8 |
Smitesh Padte, Vikramaditya Samala Venkata, Priyal Mehta, Sawsan Tawfeeq, Rahul Kashyap, Salim Surani. 21st century critical care medicine: An overview. World Journal of Critical Care Medicine 2024; 13(1): 90176 doi: 10.5492/wjccm.v13.i1.90176
|
| 9 |
Johnny Dang, Amos Lal, Laure Flurin, Amy James, Ognjen Gajic, Alejandro A Rabinstein. Predictive modeling in neurocritical care using causal artificial intelligence. World Journal of Critical Care Medicine 2021; 10(4): 112-119 doi: 10.5492/wjccm.v10.i4.112
|
| 10 |
Qiu Zhao, Kuruva Lakshmanna. Construction of Intelligent Textbook Courseware Management System Based on Artificial Intelligence Technology. Wireless Communications and Mobile Computing 2022; 2022: 1 doi: 10.1155/2022/9993183
|
| 11 |
Mohamed Khalifa, Mona Albadawy. Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update 2024; 5: 100145 doi: 10.1016/j.cmpbup.2024.100145
|
| 12 |
Sonali Vyas, Mohammad Shabaz, Prajjawal Pandit, L. Rama Parvathy, Isaac Ofori, Ammar AL-Farga. Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture. Journal of Food Quality 2022; 2022: 1 doi: 10.1155/2022/4228448
|
| 13 |
Juan P. Garcia-Mendez, Amos Lal, Svetlana Herasevich, Aysun Tekin, Yuliya Pinevich, Kirill Lipatov, Hsin-Yi Wang, Shahraz Qamar, Ivan N. Ayala, Ivan Khapov, Danielle J. Gerberi, Daniel Diedrich, Brian W. Pickering, Vitaly Herasevich. Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review. Bioengineering 2023; 10(10): 1155 doi: 10.3390/bioengineering10101155
|
| 14 |
Amos Lal, Guangxi Li, Edin Cubro, Sarah Chalmers, Heyi Li, Vitaly Herasevich, Yue Dong, Brian W. Pickering, Oguz Kilickaya, Ognjen Gajic. Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis. Critical Care Explorations 2020; 2(11): e0249 doi: 10.1097/CCE.0000000000000249
|
| 15 |
Kaustubh Arun Bhavsar, Jimmy Singla, Yasser D. Al-Otaibi, Oh-Young Song, Yousaf Bin Zikriya, Ali Kashif Bashir. Medical Diagnosis Using Machine Learning: A Statistical Review. Computers, Materials & Continua 2021; 67(1): 107 doi: 10.32604/cmc.2021.014604
|
| 16 |
Yue Dong, Amos Lal, Alexander S. Niven, Xiang Zhong. Digital Twins, Simulation, and the Metaverse. Simulation Foundations, Methods and Applications 2024; : 249 doi: 10.1007/978-3-031-69107-2_11
|
| 17 |
Amos Lal, Vitaly Herasevich, Ognjen Gajic. Utility of AI models in critical care: union of man and the machine. Critical Care 2021; 25(1) doi: 10.1186/s13054-021-03478-9
|
| 18 |
Zhongheng Zhang, Rahul Kashyap, Nan Liu, Longxiang Su, Qinghe Meng. Editorial: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II. Frontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.910163
|
| 19 |
William Trevena, Xiang Zhong, Amos Lal, Lucrezia Rovati, Edin Cubro, Yue Dong, Phillip Schulte, Ognjen Gajic. Model-driven engineering for digital twins: a graph model-based patient simulation application. Frontiers in Physiology 2024; 15 doi: 10.3389/fphys.2024.1424931
|
| 20 |
Hong-Yu Jin, Man Zhang, Bing Hu. Techniques to integrate artificial intelligence systems with medical information in gastroenterology. Artificial Intelligence in Gastrointestinal Endoscopy 2020; 1(1): 19-27 doi: 10.37126/aige.v1.i1.19
|
| 21 |
Lucrezia Rovati, Phillip J. Gary, Edin Cubro, Yue Dong, Oguz Kilickaya, Phillip J. Schulte, Xiang Zhong, Malin Wörster, Diana J. Kelm, Ognjen Gajic, Alexander S. Niven, Amos Lal. Development and usability testing of a patient digital twin for critical care education: a mixed methods study. Frontiers in Medicine 2024; 10 doi: 10.3389/fmed.2023.1336897
|
| 22 |
Claudette O. Adegboro, Avishek Choudhury, Onur Asan, Michelle M. Kelly. Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review. Hospital Pediatrics 2022; 12(1): 93 doi: 10.1542/hpeds.2021-006094
|