Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Cited by (1,008)

Items 101–200 of 1,008

1. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
   Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Séverine Dangeard, Éric Deutsch, Fabrice André, Enora Guillo, Nara Halm et al. · 2020 · Medical Image Analysis
2. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
   Federico Cabitza, Andrea Campagner, Davide Ferrari, Chiara Di Resta, Daniele Ceriotti, Eleonora Sabetta, Alessandra Colombini, Elena De Vecchi, Giuseppe Banfi, Massimo Locatelli et al. · 2020 · Clinical Chemistry and Laboratory Medicine (CCLM)
3. Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems
   Hannah Bleher, Matthias Braun · 2022 · AI and Ethics
4. Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
   Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin Wayne Sexton, Shorabuddin Syed, Salma Begum, Farhanuddin Syed, Fred Prior, Feliciano Yu · 2020 · JMIR Medical Informatics
5. Where Medical Statistics Meets Artificial Intelligence
   David James Hunter, Christopher Holmes · 2023 · New England Journal of Medicine
6. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
   Matthew Li, Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Mading Deng, Brent P. Little, Dexter P. Mendoza, Min Lang, Susanna I. Lee, Aileen O’Shea et al. · 2020 · Radiology Artificial Intelligence
7. Change in time spent visiting and experiences of green space following restrictions on movement during the COVID-19 pandemic: a nationally representative cross-sectional study of UK adults
   Hannah Burnett, Jonathan R Olsen, Natalie Nicholls, Richard Mitchell · 2021 · BMJ Open
8. Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning
   Bindu Vekaria, Christopher E. Overton, Arkadiusz Wiśniowski, Shazaad S. Y. Ahmad, Andrea Aparicio-Castro, Jacob Liam Curran-Sebastian, JANE M. EDDLESTON, Neil A. Hanley, Thomas House, Jihye Kim et al. · 2021 · BMC Infectious Diseases
9. Comparing machine learning algorithms for predicting COVID-19 mortality
   Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, Hadi Kazemi-Arpanahi · 2022 · BMC Medical Informatics and Decision Making
10. Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19
    Liping Sun, Fengxiang Song, Nannan Shi, Fengjun Liu, Shenyang Li, Ping Li, Weihan Zhang, Xiao Jiang, Yongbin Zhang, Lining Sun et al. · 2020 · Journal of Clinical Virology
11. An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
    Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzȩbski, Jan Sylwester Witowski, Duo Wang, Ben Zhang et al. · 2021 · npj Digital Medicine
12. Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
    Tianqing Hu, Mohammad Khishe, Mokhtar Mohammadi, Gholam-Reza Parvizi, Sarkhel H. Taher Karim, Tarik Ahmed Rashid · 2021 · Biomedical Signal Processing and Control
13. Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
    Carmela Comito, Clara Pizzuti · 2022 · Artificial Intelligence in Medicine
14. Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
    Soltan, Andrew A S, Kouchaki, Samaneh, Zhu, Tingting, Kiyasseh, Dani, Taylor, Thomas, Hussain, Zaamin B, Peto, Tim, Brent, Andrew J, Eyre, David W, Clifton, David A · 2021 · The Lancet Digital Health
15. Disaster and Pandemic Management Using Machine Learning: A Survey
    Vinay Chamola, Vikas Hassija, Sakshi Gupta, Adit Goyal, Mohsen Guizani, Biplab Sikdar · 2020 · IEEE Internet of Things Journal
16. Systematic Review and Meta-Analysis of Sex-Specific COVID-19 Clinical Outcomes
    Thushara Galbadage, Brent M. Peterson, Joseph Awada, Alison Buck, Danny A. Ramirez, Jason Wilson, Richard S. Gunasekera · 2020 · Frontiers in Medicine
17. Lightweight deep learning models for detecting COVID-19 from chest X-ray images
    Stefanos Karakanis, Georgios Leontidis · 2020 · Computers in Biology and Medicine
18. The human genetic epidemiology of COVID-19
    Mari Niemi, Mark J. Daly, Andrea Ganna · 2022 · Nature Reviews Genetics
19. Profiling COVID-19 pneumonia progressing into the cytokine storm syndrome: Results from a single Italian Centre study on tocilizumab versus standard of care
    Luca Quartuccio, Arianna Sonaglia, Dennis McGonagle, Martina Fabris, Maddalena Peghin, Davide Pecori, Amato De Monte, Tiziana Bove, Francesco Curcio, Flavio Bassi et al. · 2020 · Journal of Clinical Virology
20. POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
    Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann · 2020 · arXiv (Cornell University)
21. Predicting COVID-19 mortality with electronic medical records
    Hossein Estiri, Zachary H. Strasser, Jeffrey Gordon Klann, Pourandokht Naseri, Kavishwar B. Wagholikar, Shawn N. Murphy · 2021 · npj Digital Medicine
22. Social determinants of COVID-19 incidence and outcomes: A rapid review
    Tara L. Upshaw, Chloe Brown, Robert William Smith, Melissa Perri, Carolyn P. Ziegler, Andrew David Pinto · 2021 · PLoS ONE
23. Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021
    Stefan A. Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, Alexandra Bratanova, Claire K. Naughtin · 2023 · Technology in Society
24. Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
    Maarten van Smeden, Georg Heinze, Ben VAN CALSTER, Folkert Wouter Asselbergs, Panos E. Vardas, Nico Bruining, Peter P.T. de Jaegere, Jason H. Moore, Spiros Denaxas, Anne‐Laure Boulesteix et al. · 2022 · European Heart Journal
25. Herpesvirus infections and post-COVID-19 manifestations: a pilot observational study
    Світлана Зубченко, Iryna Kril, Олена Надіжко, Oksana I. Matsyura, Valentyna V. Chopyak · 2022 · Rheumatology International
26. Evidence of questionable research practices in clinical prediction models
    Nicole Marie White, Rex Parsons, Professor Gary S. Collins, Adrian Gerard Barnett · 2023 · BMC Medicine
27. Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study
    Ewan Carr, Rebecca Bendayan, Daniel M. Bean, Matthew Stammers, Wenjuan Wang, Huayu Zhang, Thomas Searle, Željko Kraljević, Anthony Shek, Hang T. T. Phan et al. · 2021 · BMC Medicine
28. Machine Learning in Vascular Surgery: A Systematic Review and Critical Appraisal
    Ben Li, Tiam Feridooni, César Cuen-Ojeda, Teruko Kishibe, Charles de Mestral, Muhammad Mamdani, Mohammed A. Al-Omran · 2021 · npj Digital Medicine
29. Allocating scarce intensive care resources during the COVID-19 pandemic: practical challenges to theoretical frameworks
    Alexander Supady, Jared Randall Curtis, Darryl C. Abrams, Roberto Lorusso, Thomas Bein, Joachim Boldt, Crystal E. Brown, Daniel Duerschmied, Victoria Metaxa, Daniel Brodie · 2021 · The Lancet Respiratory Medicine
30. The RSNA International COVID-19 Open Radiology Database (RICORD)
    Emily B. Tsai, Scott A. Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak, Bradley James Erickson, George Shih, Anouk Stein, Jayashree Kalpathy–Cramer et al. · 2021 · Radiology
31. Algorithms as co‐workers: Human algorithm role interactions in algorithmic work
    Monideepa Tarafdar, Xinru Page, Marco Marabelli · 2022 · Information Systems Journal
32. The impact of imputation quality on machine learning classifiers for datasets with missing values
    Tolou Shadbahr, Michael T. Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas, Evis Sala, Píetro Lió et al. · 2023 · Communications Medicine
33. Population Risk Factors for COVID-19 Mortality in 93 Countries
    Muhammad Jawad Hashim, Ahmed R. Alsuwaidi, Gulfaraz Khan · 2020 · Journal of Epidemiology and Global Health
34. A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
    Jana Fehr, Brian Citro, Rohit Malpani, Christoph Lippert, Vince I. Madai · 2024 · Frontiers in Digital Health
35. Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
    Jenkins, David A., Martin, Glen P., Sperrin, Matthew, Riley, Richard D., Debray, Thomas P. A., Collins, Gary S., Peek, Niels · 2021 · Diagnostic and Prognostic Research
36. Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
    Syrowatka, Ania, Kuznetsova, Masha, Alsubai, Ava, Beckman, Adam L., Bain, Paul A., Craig, Kelly Jean Thomas, Hu, Jianying, Jackson, Gretchen Purcell, Rhee, Kyu, Bates, David W. · 2021 · npj Digital Medicine
37. Developing a COVID-19 mortality risk prediction model when individual-level data are not available
    Noam Barda, Dan Riesel, Amichay Akriv, Joseph Levy, Uriah Finkel, Gal Yona, Daniel Greenfeld, Shimon Sheiba, Jonathan Somer, Eitan Bachmat et al. · 2020 · Nature Communications
38. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19
    Qingxia Wu, Shuo Wang, Liang Li, Qingxia Wu, Wei Qian, Yahua Hu, Li Li, Xuezhi Zhou, He Ma, Hongjun Li et al. · 2020 · Theranostics
39. Applying Blockchain Technology to Address the Crisis of Trust During the COVID-19 Pandemic
    Anjum Khurshid · 2020 · JMIR Medical Informatics
40. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation
    Pan Pan, Yichao Li, Yongjiu Xiao, Bingchao Han, Longxiang Su, Mingliang Su, Yansheng Li, Siqi Zhang, Dapeng Jiang, Xia Chen et al. · 2020 · Journal of Medical Internet Research
41. Disparities in Video and Telephone Visits Among Older Adults During the COVID-19 Pandemic: Cross-Sectional Analysis
    Christopher H. Schifeling, Prajakta Shanbhag, A Johnson, Riannon C Atwater, Claire E. Koljack, Bennett L. Parnes, Maria V. Vejar, Samantha A. Farro, Phoutdavone Phimphasone‐Brady, Hillary D. Lum · 2020 · JMIR Aging
42. Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing
    José Luís Izquierdo Alonso, Julio Ancochea, Joan Bautista Soriano · 2020 · Journal of Medical Internet Research
43. The trans-omics landscape of COVID-19
    Peng Wu, Dongsheng Chen, Wencheng Ding, Ping Wu, Hongyan Hou, Yong Bai, Yuwen Zhou, Kezhen Li, Shunian Xiang, Panhong Liu et al. · 2021 · Nature Communications
44. Under-reporting of deaths limits our understanding of true burden of covid-19
    Whittaker, Charles, Walker, Patrick G T, Alhaffar, Mervat, Hamlet, Arran, Djaafara, Bimandra A, Ghani, Azra, Ferguson, Neil, Dahab, Maysoon, Checchi, Francesco, Watson, Oliver J · 2021 · BMJ
45. Are we equal in adversity? Does Covid-19 affect women and men differently?
    Serge Rozenberg, Jean Vandromme, Charlotte Martin · 2020 · Maturitas
46. Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
    Andaur Navarro, Constanza L., Damen, Johanna A.A., van Smeden, Maarten, Takada, Toshihiko, Nijman, Steven W.J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D. et al. · 2023 · Journal of Clinical Epidemiology
47. Impacto psicosocial de la COVID-19 en las personas mayores: problemas y retos
    Sacramento Pinazo Hernandis · 2020 · Revista Española de Geriatría y Gerontología
48. Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification
    Sang Joon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sung-Jun Moon, Jae‐Kwang Lim, Jong Chul Ye · 2021 · Medical Image Analysis
49. Smell and taste symptom‐based predictive model for COVID‐19 diagnosis
    Lauren T. Roland, Jose G. Gurrola, Patricia Anne Loftus, Steven W. Cheung, Jolie L. Chang · 2020 · International Forum of Allergy & Rhinology
50. The association between frailty and severe disease among COVID-19 patients aged over 60 years in China: a prospective cohort study
    Yao Ma, Lisha Hou, Xiufang Yang, Zhixin Huang, Xue Yang, Na Zhao, Min He, Yixin Shi, Yan Ming Kang, Jirong Yue et al. · 2020 · BMC Medicine
51. Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
    Chang Ho Yoon, Robert Torrance, Naomi Scheinerman · 2021 · Journal of Medical Ethics
52. Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
    Nick McGreivy, Ammar H. Hakim · 2024 · Nature Machine Intelligence
53. Multi-organ impairment in low-risk individuals with long COVID
    Andrea Dennis, Małgorzata Wamil, Sandeep Kapur, Johann Alberts, Andrew D. Badley, G.A. Decker, Stacey A. Rizza, Rajarshi Banerjee, Amitava Banerjee · 2020 · medRxiv
54. Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning
    Wan Xu, Nannan Sun, Hainv Gao, Zhiyuan Chen, Ya Yang, Bin Ju, Lingling Tang · 2021 · Scientific Reports
55. Targeted validation: validating clinical prediction models in their intended population and setting
    Matthew Sperrin, Richard D Riley, Professor Gary S. Collins, Glen Philip Martin · 2022 · Diagnostic and Prognostic Research
56. Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome
    Ivayla Roberts, Marina Wright Muelas, Joseph M. Taylor, Andrew Davison, Yun Xu A, Justine M. Grixti, Nigel Gotts, Anatolii Sorokin, Royston Goodacre, Douglas Bruce Kell · 2021 · Metabolomics
57. Artificial Intelligence in the Fight Against COVID-19: Scoping Review
    Alaa Ali Abd-Alrazaq, Mohannad Alajlani, Dari Alhuwail, Jens Schneider, Saif M. Al-Kuwari, Zubair Shah, Mounir Hamdi, Mowafa Said Househ · 2020 · Journal of Medical Internet Research
58. Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
    Soo Ick Cho, Susie Yoon, Ho‐Jin Lee · 2021 · Scientific Reports
59. How to conduct a systematic review and meta-analysis of prognostic model studies
    Johanna AAG Damen, Karel G.M. Moons, Maarten van Smeden, Lotty Hooft · 2022 · Clinical Microbiology and Infection
60. A Nationwide Network of Health AI Assurance Laboratories
    Shah, Nigam H., Halamka, John D., Saria, Suchi, Pencina, Michael, Tazbaz, Troy, Tripathi, Micky, Callahan, Alison, Hildahl, Hailey, Anderson, Brian · 2024 · JAMA
61. Metabolic Syndrome and COVID 19: Endocrine-Immune-Vascular Interactions Shapes Clinical Course
    Rashika Bansal, Sriram Gubbi, Ranganath Muniyappa · 2020 · Endocrinology
62. Prognostic Factors for 30-Day Mortality in Critically Ill Patients With Coronavirus Disease 2019: An Observational Cohort Study
    Ferrando-Vivas, Paloma, Doidge, James, Thomas, Karen, Gould, Doug W., Mouncey, Paul, Shankar-Hari, Manu, Young, J. Duncan, Rowan, Kathryn M., Harrison, David A. · 2021 · Critical Care Medicine
63. Implicit data crimes: Machine learning bias arising from misuse of public data
    Shimron, Efrat, Tamir, Jonathan I., Wang, Ke, Lustig, Michael · 2022 · Proceedings of the National Academy of Sciences
64. Diagnosing COVID‐19 in the Emergency Department: A Scoping Review of Clinical Examinations, Laboratory Tests, Imaging Accuracy, and Biases
    Christopher R. Carpenter, Philip A. Mudd, Colin P. West, Erin Wilber, Scott T. Wilber · 2020 · Academic Emergency Medicine
65. Three pathways for standardisation and ethical disclosure by default under the European union artificial intelligence act
    Johann Moritz Laux, Sandra Wachter, Brent Mittelstadt · 2024 · Computer law & security review
66. Anosmia and dysgeusia in COVID-19: A systematic review
    Rodrigo Martin Carrillo-Larco, Carlos Altez-Fernandez · 2020 · Wellcome Open Research
67. Human molecular chaperones share with SARS-CoV-2 antigenic epitopes potentially capable of eliciting autoimmunity against endothelial cells: possible role of molecular mimicry in COVID-19
    Antonella Marino, Sébastien Légaré, Giosuè Lo Bosco, Alberto Fucarino, Francesca Angileri, Everly Conway de Macario, Alberto J.L. Macario, Francesco Cappello · 2020 · Cell Stress and Chaperones
68. Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19
    Singh, Karandeep, Valley, Thomas S., Tang, Shengpu, Li, Benjamin Y., Kamran, Fahad, Sjoding, Michael W., Wiens, Jenna, Otles, Erkin, Donnelly, John P., Wei, Melissa Y. et al. · 2021 · Annals of the American Thoracic Society
69. Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs
    Marcos Antônio Alves, Giulia Zanon de Castro, Bruno Alberto Soares Oliveira, Leonardo Augusto Ferreira, Jaime Arturo Ramírez, Rodrigo Silva, Frederico Gadelha Guimarães · 2021 · Computers in Biology and Medicine
70. Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved
    Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Scott Bullock, Johanna AAG Damen, Shona Kirtley, Lotty Hooft, Richard D Riley, Ben VAN CALSTER et al. · 2021 · Journal of Clinical Epidemiology
71. Steps to avoid overuse and misuse of machine learning in clinical research
    Volovici, Victor, Syn, Nicholas L., Ercole, Ari, Zhao, Joseph J., Liu, Nan · 2022 · Nature Medicine
72. Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records
    Videha Sharma, Ibrahim Ali, Sabine N van der Veer, Glen Philip Martin, John D. Ainsworth, Titus Augustine · 2021 · BMJ Health & Care Informatics
73. Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies
    Kate Loveys, Matthew A. Prina, Chloe Axford, Òscar Ristol Domènec, William Weng, Elizabeth Broadbent, Sameer Pujari, Hyobum Jang, Zee A Han, Jotheeswaran Amuthavalli Thiyagarajan · 2022 · The Lancet Healthy Longevity
74. Artificial intelligence and explanation: How, why, and when to explain black boxes
    Eric Marcus, Jonas Teuwen · 2024 · European Journal of Radiology
75. Lung ultrasound score predicts outcomes in COVID-19 patients admitted to the emergency department
    Júlio César Garcia de Alencar, Júlio César Garcia de Alencar, Lucas Oliveira Marino, Sabrina Correa da Costa Ribeiro, Cauê Gasparotto Bueno, Victor Paro da Cunha, Felippe Lazar Neto, Fernando Salvetti Valente, Hassan Rahhal, Juliana Batista Rodrigues Pereira et al. · 2021 · Annals of Intensive Care
76. Using artificial intelligence techniques for COVID-19 genome analysis
    M. Saqib Nawaz, Philippe Fournier‐Viger, Abbas Shojaee, Hamido Fujita · 2021 · Applied Intelligence
77. Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking
    Satyaki Roy, Preetam Ghosh · 2020 · PLoS ONE
78. An IoT-Based Deep Learning Framework for Early Assessment of Covid-19
    Imran Ahmed, Awais Ahmad, Gwanggil Jeon · 2020 · IEEE Internet of Things Journal
79. An open source machine learning framework for efficient and transparent systematic reviews
    Rens van de Schoot, Jonathan De Bruin, Raoul D. Schram, Parisa Zahedi, J. de Boer, Felix Weijdema, Bianca M. R. Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands et al. · 2021 · Utrecht University Repository (Utrecht University)
80. Methodology over metrics: current scientific standards are a disservice to patients and society
    Van Calster, Ben, Wynants, Laure, Riley, Richard D, van Smeden, Maarten, Collins, Gary S · 2021 · Journal of Clinical Epidemiology
81. Determinants of the onset and prognosis of the post-COVID-19 condition: a 2-year prospective observational cohort study
    Lourdes Mateu, Cristian Tebé, Cora Loste, José Ramón Santos, Gemma Lladós, Cristina López, Sergio España-Cueto, Ruth Toledo, Marta Font, Anna Chamorro et al. · 2023 · The Lancet Regional Health - Europe
82. A Novel Scoring System for Prediction of Disease Severity in COVID-19
    Chi Zhang, Ling Qin, Kang Li, Qi Ming Wang, Yan Zhao, Bin Xu, Lianchun Liang, Yanchao Dai, Yingmei Feng, Jianping Sun et al. · 2020 · Frontiers in Cellular and Infection Microbiology
83. Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19
    Daryl L. X. Fung, Qian Liu, Judah Zammit, Carson Kai-Sang Leung, Pingzhao Hu · 2021 · Journal of Translational Medicine
84. Predicting CoVID-19 community mortality risk using machine learning and development of an online prognostic tool
    Ashis Das, Shiba Ranjan Mishra, Saji Saraswathy Gopalan · 2020 · PeerJ
85. VEGF-D: a novel biomarker for detection of COVID-19 progression
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86. Clinical Predictive Models for COVID-19: Systematic Study
    Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer · 2020 · Journal of Medical Internet Research
87. Immunopathology of SARS-CoV-2 Infection: Immune Cells and Mediators, Prognostic Factors, and Immune-Therapeutic Implications
    Alessandro Allegra, Mario Di Gioacchino, Alessandro Tonacci, Caterina Musolino, Sebastiano Gangemi · 2020 · International Journal of Molecular Sciences
88. Characterization of NT‐proBNP in a large cohort of COVID‐19 patients
    Juan Caro‐Codón, Juan Ramón Rey, Antonio Buño Soto, Ángel Manuel Iniesta, Sandra Ofelia Rosillo, Sergio Castrejón‐Castrejón, Laura Rodríguez‐Sotelo, Luis A. Martinez, Irene Marco Clement, Carlos M. Merino et al. · 2021 · European Journal of Heart Failure
89. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning
    Skylar W. Marvel, John S. House, Matthew W. Wheeler, Kuncheng Song, Yi‐Hui Zhou, Fred A. Wright, Weihsueh A. Chiu, Ivan Rusyn, Alison A. Motsinger‐Reif, David M. Reif · 2021 · Environmental Health Perspectives
90. An approach to forecast impact of Covid‐19 using supervised machine learning model
    Senthilkumar Mohan, A John, Ahed Abugabah, Malaiyalathan Adimoolam, Shubham Kumar Singh, Ali Kashif Bashir, Louis Sanzogni · 2021 · Software Practice and Experience
91. Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
    Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sanchez Jacob, Jonathan S. Zember, Jose Molto, Wenqi Li, Sheng Xu, Barış Türkbey, Evrim Bengi Turkbey et al. · 2022 · Medical Image Analysis
92. Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
    Paula Dhiman, Jie Ma, Cathy Qi, Garrett Scott Bullock, Jamie C. Sergeant, Richard D Riley, Professor Gary S. Collins · 2023 · BMC Medical Research Methodology
93. Computational drug repurposing: approaches, evaluation of in silico resources and case studies
    Ziaurrehman Tanoli, Adrià Fernández‐Torras, Umut Onur Özcan, Aleksandr Kushnir, Kristen Michelle Nader, Yojana Gadiya, Laura Fiorenza, Aleksandr Ianevski, Markus J. V. Vähä-Koskela, Mitro Miihkinen et al. · 2025 · Nature Reviews Drug Discovery
94. Serum S100B protein as a marker of severity in Covid-19 patients
    Antonio Aceti, Lory Marika Margarucci, Elena Scaramucci, Massimiliano Orsini, Gerardo Salerno, Gabriele Di Sante, Gianluca Gianfranceschi, Rosa Di Liddo, Federica Valeriani, Francesco Ria et al. · 2020 · Scientific Reports
95. Early risk assessment for COVID-19 patients from emergency department data using machine learning
    Frank S. Heldt, Marcela Paola Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanović, Robert Dürichen, Nadezda Lipunova, Robert A. Fletcher et al. · 2021 · Scientific Reports
96. Perspectives on validation of clinical predictive algorithms
    Anne de Hond, Vaibhavi B. Shah, Ilse M.J. Kant, Ben VAN CALSTER, Ewout Willem Steyerberg, Tina Hernandez‐Boussard · 2023 · npj Digital Medicine
97. Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives
    Alan G. Fraser, Elisabetta Biasin, Bart H. Bijnens, Nico Bruining, Enrico Gianluca Caiani, Koen Cobbaert, Rhodri Huw Davies, Stephen Gilbert, L. Hovestadt, Erik Kamenjašević et al. · 2023 · Expert Review of Medical Devices
98. Tackling COVID-19 Through Responsible AI Innovation: Five Steps in the Right Direction
    David Leslie · 2020 · Harvard Data Science Review
99. Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort
    Brandon Michael Henry, Justin L. Benoit, Stefanie Woolridge Benoit, Christina Pulvino, Brandon A. Berger, Maria Helena Santos de Oliveira, Christopher A. Crutchfield, Giuseppe Lippi · 2020 · Diagnostics
100. National Early Warning Score 2 (NEWS2) to identify inpatient COVID-19 deterioration: a retrospective analysis
     Kenneth Frank Baker, Aidan T. Hanrath, Ina Schim van der Loeff, Lesley Kay, Jonathan Back, Christopher James Arthur Duncan · 2021 · Clinical Medicine