Search Results - "Pianykh, Oleg"

Correction: An alternative to the black box: Strategy learning by Traub, Simon, Pianykh, Oleg S

“…[This corrects the article DOI: 10.1371/journal.pone.0264485.]…”
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Current Applications and Future Impact of Machine Learning in Radiology by 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

“…Recent advances and future perspectives of machine learning techniques offer promising applications in medical imaging. Machine learning has the potential to…”
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An alternative to the black box: Strategy learning by Traub, Simon, Pianykh, Oleg S

“…In virtually any practical field or application, discovering and implementing near-optimal decision strategies is essential for achieving desired outcomes…”
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Continuous Learning AI in Radiology: Implementation Principles and Early Applications by Pianykh, Oleg S, Langs, Georg, Dewey, Marc, Enzmann, Dieter R, Herold, Christian J, Schoenberg, Stefan O, Brink, James A

“…Artificial intelligence (AI) is becoming increasingly present in radiology and health care. This expansion is driven by the principal AI strengths: automation,…”
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Temporal quality degradation in AI models by Vela, Daniel, Sharp, Andrew, Zhang, Richard, Nguyen, Trang, Hoang, An, Pianykh, Oleg S.

“…As AI models continue to advance into many real-life applications, their ability to maintain reliable quality over time becomes increasingly important. The…”
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Discrete scheduling and critical utilization by Pianykh, Oleg S., Perez, Sebastian, Zhang, Chengzhao “Richard”

“…•Discrete scheduling efficiency degrades hyperbolically as schedule utilization increases.•Concise expression for maximum schedule utilization can be found…”
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Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging by Perkonigg, Matthias, Hofmanninger, Johannes, Herold, Christian J., Brink, James A., Pianykh, Oleg, Prosch, Helmut, Langs, Georg

“…Medical imaging is a central part of clinical diagnosis and treatment guidance. Machine learning has increasingly gained relevance because it captures features…”
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Modeling workflows: Identifying the most predictive features in healthcare operational processes by Crowley, Colm, Guitron, Steven, Son, Joseph, Pianykh, Oleg S

“…Limited resources and increased patient flow highlight the importance of optimizing healthcare operational systems to improve patient care. Accurate prediction…”
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Machine Learning for Predicting Patient Wait Times and Appointment Delays by Curtis, Catherine, Liu, Chang, Bollerman, Thomas J., Pianykh, Oleg S.

“…Being able to accurately predict waiting times and scheduled appointment delays can increase patient satisfaction and enable staff members to more accurately…”
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How Secure Is Your Radiology Department? Mapping Digital Radiology Adoption and Security Worldwide by Stites, Mark, Pianykh, Oleg S

“…Despite the long history of digital radiology, one of its most critical aspects--information security--still remains extremely underdeveloped and poorly…”
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Human knowledge models: Learning applied knowledge from the data by Dudyrev, Egor, Semenkov, Ilia, Kuznetsov, Sergei O, Gusev, Gleb, Sharp, Andrew, Pianykh, Oleg S

“…Artificial intelligence and machine learning have demonstrated remarkable results in science and applied work. However, present AI models, developed to be run…”
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Predicting health crises from early warning signs in patient medical records by Gumustop, Selin, Gallo-Bernal, Sebastian, McPeake, Fionnuala, Briggs, Daniel, Gee, Michael S., Pianykh, Oleg S.

“…The COVID-19 global pandemic has caused unprecedented worldwide changes in healthcare delivery. While containment and mitigation approaches have been…”
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A data science-based analysis of socioeconomic determinants impacting pediatric diagnostic radiology utilization during the COVID-19 pandemic by Gallo-Bernal, Sebastian, Peña-Trujillo, Valeria, Briggs, Daniel, Machado-Rivas, Fedel, Pianykh, Oleg S., Flores, Efren J., Gee, Michael S.

“…Background Research on healthcare disparities in pediatric radiology is limited, leading to the persistence of missed care opportunities (MCO). We hypothesize…”
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Imaging Volume Trends and Recovery During the COVID-19 Pandemic: A Comparative Analysis Between a Large Urban Academic Hospital and Its Affiliated Imaging Centers by 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.

“…While affiliated imaging centers play an important role in healthcare systems, little is known of how their operations are impacted by the COVID-19 pandemic…”
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COVID-19: Recovery Models for Radiology Departments by Guitron, Steven, Pianykh, Oleg S., Succi, Marc D., Lang, Min, Brink, James

“…The coronavirus disease 2019 (COVID-19) pandemic has greatly affected demand for imaging services, with marked reductions in demand for elective imaging and…”
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Digital perfusion phantoms for visual perfusion validation by Pianykh, Oleg S

“…Despite the increasingly broad use of perfusion applications, we still have no generally accessible means for their verification: The common sense of perfusion…”
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Improving healthcare operations management with machine learning by Pianykh, Oleg S., Guitron, Steven, Parke, Darren, Zhang, Chengzhao, Pandharipande, Pari, Brink, James, Rosenthal, Daniel

“…Healthcare institutions need modern and powerful technology to provide high-quality, cost-effective care to patients. However, despite the considerable…”
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Improving Workflow Efficiency at an Outpatient MRI Imaging Facility: A Case Study by 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.

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Modeling Human Perception of Image Quality by Pianykh, Oleg S., Pospelova, Ksenia, Kamboj, Nick H.

“…Humans can determine image quality instantly and intuitively, but the mechanism of human perception of image quality is unknown. The purpose of this work was…”
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Can We Predict Patient Wait Time? by Pianykh, Oleg S., PhD, Rosenthal, Daniel I., MD

“…Abstract Purpose The importance of patient wait-time management and predictability can hardly be overestimated: For most hospitals, it is the patient queues…”
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