A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays

Authors: Avantika Vardhan, Alex Makhnevich, Pravan Omprakash, David Hirschorn, Matthew Barish, Stuart L. Cohen, Theodoros P. Zanos

Source: Bioelectronic Medicine, Vol 9, Iss 1, Pp 1-16 (2023)

Subject Terms: Chest X-ray (CXR), Deep transfer learning, Heatmap concordance, Lung opacity, Ordinal classification, Pretrained model, Medical technology, R855-855.5

File Description: electronic resource

Relation: https://doaj.org/toc/2332-8886

Access URL: https://doaj.org/article/f0fab7f6d4c0488182d7a0b70949dc26

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Authors: Todd J. Levy, Kevin Coppa, Jinxuan Cang, Douglas P. Barnaby, Marc D. Paradis, Stuart L. Cohen, Alex Makhnevich, David van Klaveren, David M. Kent, Karina W. Davidson, Jamie S. Hirsch, Theodoros P. Zanos

Source: Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1723

Access URL: https://doaj.org/article/683b8b5d02ea4901ab5cfc731bf455d7

Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave

Authors: Jonathan Gong, Rene Mayorga, Roland Hentz, Martin Lesser, Seleshi Demissie, Frederick Davis, Adam Berman, Matthew Barish, Stuart L. Cohen, Kate L. van Loveren, Nancy S. Kwon, Northwell COVID-19 Research Consortium

Source: Western Journal of Emergency Medicine, Vol 24, Iss 3 (2023)

Subject Terms: Medicine, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9

File Description: electronic resource

Relation: https://escholarship.org/uc/item/1rp7b530; https://doaj.org/toc/1936-9018

Access URL: https://doaj.org/article/40ea8c77ac034293899a4ad4399f11d8

Validation of the IMPROVE‐DD risk assessment model for venous thromboembolism among hospitalized patients with COVID‐19

Authors: Alex C. Spyropoulos, Stuart L. Cohen, Eugenia Gianos, Nina Kohn, Dimitrios Giannis, Saurav Chatterjee, Mark Goldin, Marty Lesser, Kevin Coppa, Jamie S. Hirsch, Thomas McGinn, Matthew A. Barish, the COVID‐19 Consortium Group

Source: Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 2, Pp 296-300 (2021)

Subject Terms: COVID‐19, hospitalized patients, risk assessment, thromboembolism, thrombosis, Diseases of the blood and blood-forming organs, RC633-647.5

File Description: electronic resource

Relation: https://doaj.org/toc/2475-0379

Access URL: https://doaj.org/article/b8af46e3348d4332bacdae4b6325cabf

Machine learning to assist clinical decision-making during the COVID-19 pandemic

Authors: Shubham Debnath, Douglas P. Barnaby, Kevin Coppa, Alexander Makhnevich, Eun Ji Kim, Saurav Chatterjee, Viktor Tóth, Todd J. Levy, Marc d. Paradis, Stuart L. Cohen, Jamie S. Hirsch, Theodoros P. Zanos, the Northwell COVID-19 Research Consortium

Source: Bioelectronic Medicine, Vol 6, Iss 1, Pp 1-8 (2020)

Subject Terms: Artificial intelligence (AI), Clinical decision-making, Coronavirus disease 19 (COVID-19), Healthcare, Machine learning (ML), Medical technology, R855-855.5

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s42234-020-00050-8; https://doaj.org/toc/2332-8886

Access URL: https://doaj.org/article/b103d57c78064a208c97bafb534794cc

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Examination of patient characteristics and hydroxychloroquine use based on the US Food and Drug Administration’s recommendation: a cross-sectional analysis in New York

Authors: Sonali Narain, Charlotte Kvasnovsky, Joseph Conigliaro, Martin Lesser, Eun Ji Kim, Kevin Coppa, Jamie S Hirsch, Sara Abrahams, Jennifer Johnson, Karina W Davidson, Stuart L Cohen, Stephen C Machnicki, Alex Makhnevich, Prashant Malhotra, Lyndonna Marrast, Ramanak Mitra, Ernesto P Molmenti, M Wasif Saif, Sanjaya Satapathy, Shalin Shah

Source: BMJ Open, Vol 11, Iss 2 (2021)

Subject Terms: Medicine

File Description: electronic resource

Relation: https://bmjopen.bmj.com/content/11/2/e042965.full; https://doaj.org/toc/2044-6055

Access URL: https://doaj.org/article/ee2a19f9be214a7fb55a5bf20901ab51