Current Applications and Future Impact of Machine Learning in Radiology
Choy, Garry, Khalilzadeh, Omid, Michalski, Mark, Do, Synho, Samir, Anthony E, Pianykh, Oleg S, Geis, J Raymond, Pandharipande, Pari V, Brink, James A, Dreyer, Keith J
Published in Radiology (01.08.2018)
Published in Radiology (01.08.2018)
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Journal Article
Temporal quality degradation in AI models
Vela, Daniel, Sharp, Andrew, Zhang, Richard, Nguyen, Trang, Hoang, An, Pianykh, Oleg S
Published in Scientific reports (08.07.2022)
Published in Scientific reports (08.07.2022)
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Journal Article
Human knowledge models: Learning applied knowledge from the data
Dudyrev, Egor, Semenkov, Ilia, Kuznetsov, Sergei O, Gusev, Gleb, Sharp, Andrew, Pianykh, Oleg S
Published in PloS one (20.10.2022)
Published in PloS one (20.10.2022)
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Journal Article
Predicting health crises from early warning signs in patient medical records
Gumustop, Selin, Gallo-Bernal, Sebastian, McPeake, Fionnuala, Briggs, Daniel, Gee, Michael S, Pianykh, Oleg S
Published in Scientific reports (10.11.2022)
Published in Scientific reports (10.11.2022)
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Journal Article
Can We Predict Patient Wait Time?
Pianykh, Oleg S., PhD, Rosenthal, Daniel I., MD
Published in Journal of the American College of Radiology (01.10.2015)
Published in Journal of the American College of Radiology (01.10.2015)
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Journal Article
Continuous Learning AI in Radiology: Implementation Principles and Early Applications
Pianykh, Oleg S, Langs, Georg, Dewey, Marc, Enzmann, Dieter R, Herold, Christian J, Schoenberg, Stefan O, Brink, James A
Published in Radiology (01.10.2020)
Published in Radiology (01.10.2020)
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Journal Article
Machine Learning for Predicting Patient Wait Times and Appointment Delays
Curtis, Catherine, Liu, Chang, Bollerman, Thomas J., Pianykh, Oleg S.
Published in Journal of the American College of Radiology (01.09.2018)
Published in Journal of the American College of Radiology (01.09.2018)
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Journal Article
Discrete scheduling and critical utilization
Pianykh, Oleg S., Perez, Sebastian, Zhang, Chengzhao “Richard”
Published in European journal of operational research (16.01.2024)
Published in European journal of operational research (16.01.2024)
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Journal Article
A data science-based analysis of socioeconomic determinants impacting pediatric diagnostic radiology utilization during the COVID-19 pandemic
Gallo-Bernal, Sebastian, Peña-Trujillo, Valeria, Briggs, Daniel, Machado-Rivas, Fedel, Pianykh, Oleg S, Flores, Efren J, Gee, Michael S
Published in Pediatric radiology (18.09.2024)
Published in Pediatric radiology (18.09.2024)
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Journal Article
Imaging Volume Trends and Recovery During the COVID-19 Pandemic: A Comparative Analysis Between a Large Urban Academic Hospital and Its Affiliated Imaging Centers
Lang, Min, Yeung, Tristan, Mendoza, Dexter P, Flores, Efren J, Som, Avik, Lang, Angela L, Pianykh, Oleg S, Lee, Susanna I, Saini, Sanjay, Little, Brent P, Succi, Marc D
Published in Academic radiology (01.10.2020)
Published in Academic radiology (01.10.2020)
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Journal Article
COVID-19: Recovery Models for Radiology Departments
Guitron, Steven, Pianykh, Oleg S., Succi, Marc D., Lang, Min, Brink, James
Published in Journal of the American College of Radiology (01.11.2020)
Published in Journal of the American College of Radiology (01.11.2020)
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Journal Article
Improving Workflow Efficiency at an Outpatient MRI Imaging Facility: A Case Study
Lang, Min, Lo, Wei-Ching, Sharp, Andrew, Hartmann, Sean P., Pianykh, Oleg S., Melski, Lauren M., Herrington, Jeremy A., Sellers, Robert, Deshpande, Vibhas, Clifford, Bryan, Brink, James A., Husseini, Jad S., Harisinghani, Mukesh G., Huang, Susie Y.
Published in Journal of the American College of Radiology (20.06.2024)
Published in Journal of the American College of Radiology (20.06.2024)
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Journal Article
Modeling Human Perception of Image Quality
Pianykh, Oleg S., Pospelova, Ksenia, Kamboj, Nick H.
Published in Journal of digital imaging (01.12.2018)
Published in Journal of digital imaging (01.12.2018)
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Journal Article
Improving healthcare operations management with machine learning
Pianykh, Oleg S., Guitron, Steven, Parke, Darren, Zhang, Chengzhao, Pandharipande, Pari, Brink, James, Rosenthal, Daniel
Published in Nature machine intelligence (01.05.2020)
Published in Nature machine intelligence (01.05.2020)
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