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Cited by in CrossRef
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 SystemsEngineering 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 toolAI 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 unitBMC 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 applicationsHepatology Communications 2023; 7(4) doi: 10.1097/HC9.0000000000000095
5
Sabri Atalay, Ufuk Sönmez. Digital Twin Driven Intelligent Systems and Emerging Metaverse2023; : 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 IFrontiers 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 fieldnpj 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 overviewWorld 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 intelligenceWorld 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 TechnologyWireless 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 toolComputer 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 AgricultureJournal 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 ReviewBioengineering 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 SepsisCritical 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 ReviewComputers, 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 MetaverseSimulation 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 machineCritical 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 IIFrontiers 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 applicationFrontiers 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 gastroenterologyArtificial 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 studyFrontiers 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 ReviewHospital Pediatrics 2022; 12(1): 93 doi: 10.1542/hpeds.2021-006094