Zobrazeno 1 - 10 of 55 pro vyhledávání: '"John, Mongan"'
1
Akademický článek
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA
Autor: Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, John Slavotinek
Publikováno v: Insights into Imaging, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by a
Externí odkaz: https://doaj.org/article/a0270d79cf654afb80e58b7ac7183bff
Zobrazit plný text záznamu
2
Akademický článek
Automated coronary calcium scoring using deep learning with multicenter external validation
Autor: David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fatima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel
Publikováno v: npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United States. Risk assessment is key for primary prevention of coronary events and coronary artery cal
Externí odkaz: https://doaj.org/article/c45dfc0724e243f6aed1edf848f05660
Zobrazit plný text záznamu
3
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer
Autor: Maggie Chung, Evan Calabrese, John Mongan, Kimberly M. Ray, Jessica H. Hayward, Tatiana Kelil, Ryan Sieberg, Nola Hylton, Bonnie N. Joe, Amie Y. Lee
Publikováno v: Radiology. 306
Background There is increasing interest in noncontrast breast MRI alternatives for tumor visualization to increase the accessibility of breast MRI. Purpose To evaluate the feasibility and accuracy of generating simulated contrast-enhanced T1-weighted
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b9d5901b9275fc7bc9a8c8f44017cbc
https://doi.org/10.1148/radiol.213199
Zobrazit plný text záznamu
4
Automated detection of IVC filters on radiographs with deep convolutional neural networks
Autor: John Mongan, Marc D. Kohli, Roozbeh Houshyar, Peter D. Chang, Justin Glavis-Bloom, Andrew G. Taylor
Publikováno v: Abdominal radiology (New York), vol 48, iss 2
Purpose To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval. Methods A primary dataset of 5225 images, 30%
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcca9c00c01851a17465292db6ef6fc
https://escholarship.org/uc/item/6711v9mz
Zobrazit plný text záznamu
5
Akademický článek
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
Autor: Andrew G Taylor, Clinton Mielke, John Mongan
Publikováno v: PLoS Medicine, Vol 15, Iss 11, p e1002697 (2018)
BACKGROUND:Pneumothorax can precipitate a life-threatening emergency due to lung collapse and respiratory or circulatory distress. Pneumothorax is typically detected on chest X-ray; however, treatment is reliant on timely review of radiographs. Since
Externí odkaz: https://doaj.org/article/a41aa1b5734f408493a7c84a0e1c2a67
Zobrazit plný text záznamu
6
Automated detection of IVC filters on radiographs with deep convolutional neural networks
Autor: John, Mongan, Marc D, Kohli, Roozbeh, Houshyar, Peter D, Chang, Justin, Glavis-Bloom, Andrew G, Taylor
Publikováno v: Abdominal radiology (New York).
To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval.A primary dataset of 5225 images, 30% of which include
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::fabcca544ea6c0b0f6295c598540ada0
https://pubmed.ncbi.nlm.nih.gov/36371471
Zobrazit plný text záznamu
8
Behavioral 'nudges' in the electronic health record to reduce waste and misuse: 3 interventions
Autor: Carrie K Grouse, Maggie W Waung, A Jay Holmgren, John Mongan, Aaron Neinstein, S Andrew Josephson, Raman R Khanna
Publikováno v: Journal of the American Medical Informatics Association : JAMIA.
Electronic health records (EHRs) offer decision support in the form of alerts, which are often though not always interruptive. These alerts, though sometimes effective, can come at the cost of high cognitive burden and workflow disruption. Less well
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c1e5b0b9f0f6bca0e0c771274d8fac9
https://pubmed.ncbi.nlm.nih.gov/36519951
Zobrazit plný text záznamu
9
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade
Autor: Aditya Karandikar, Agnieszka Solberg, Alice Fung, Amie Y. Lee, Amina Farooq, Amy C. Taylor, Amy Oliveira, Anand Narayan, Andi Senter, Aneesa Majid, Angela Tong, Anika L. McGrath, Anjali Malik, Ann Leylek Brown, Anne Roberts, Arthur Fleischer, Beth Vettiyil, Beth Zigmund, Brian Park, Bruce Curran, Cameron Henry, Camilo Jaimes, Cara Connolly, Caroline Robson, Carolyn C. Meltzer, Catherine H. Phillips, Christine Dove, Christine Glastonbury, Christy Pomeranz, Claudia F.E. Kirsch, Constantine M. Burgan, Courtney Scher, Courtney Tomblinson, Cristina Fuss, Cynthia Santillan, Dania Daye, Daniel B. Brown, Daniel J. Young, Daniel Kopans, Daniel Vargas, Dann Martin, David Thompson, David W. Jordan, Deborah Shatzkes, Derek Sun, Domenico Mastrodicasa, Elainea Smith, Elena Korngold, Elizabeth H. Dibble, Elizabeth K. Arleo, Elizabeth M. Hecht, Elizabeth Morris, Elizabeth P. Maltin, Erin A. Cooke, Erin Simon Schwartz, Evan Lehrman, Faezeh Sodagari, Faisal Shah, Florence X. Doo, Francesca Rigiroli, George K. Vilanilam, Gina Landinez, Grace Gwe-Ya Kim, Habib Rahbar, Hailey Choi, Harmanpreet Bandesha, Haydee Ojeda-Fournier, Ichiro Ikuta, Irena Dragojevic, Jamie Lee Twist Schroeder, Jana Ivanidze, Janine T. Katzen, Jason Chiang, Jeffers Nguyen, Jeffrey D. Robinson, Jennifer C. Broder, Jennifer Kemp, Jennifer S. Weaver, Jesse M. Conyers, Jessica B. Robbins, Jessica R. Leschied, Jessica Wen, Jocelyn Park, John Mongan, Jordan Perchik, José Pablo Martínez Barbero, Jubin Jacob, Karyn Ledbetter, Katarzyna J. Macura, Katherine E. Maturen, Katherine Frederick-Dyer, Katia Dodelzon, Kayla Cort, Kelly Kisling, Kemi Babagbemi, Kevin C. McGill, Kevin J. Chang, Kimberly Feigin, Kimberly S. Winsor, Kimberly Seifert, Kirang Patel, Kristin K. Porter, Kristin M. Foley, Krupa Patel-Lippmann, Lacey J. McIntosh, Laura Padilla, Lauren Groner, Lauren M. Harry, Lauren M. Ladd, Lisa Wang, Lucy B. Spalluto, M. Mahesh, M. Victoria Marx, Mark D. Sugi, Marla B.K. Sammer, Maryellen Sun, Matthew J. Barkovich, Matthew J. Miller, Maya Vella, Melissa A. Davis, Meridith J. Englander, Michael Durst, Michael Oumano, Monica J. Wood, Morgan P. McBee, Nancy J. Fischbein, Nataliya Kovalchuk, Neil Lall, Neville Eclov, Nikhil Madhuripan, Nikki S. Ariaratnam, Nina S. Vincoff, Nishita Kothary, Noushin Yahyavi-Firouz-Abadi, Olga R. Brook, Orit A. Glenn, Pamela K. Woodard, Parisa Mazaheri, Patricia Rhyner, Peter R. Eby, Preethi Raghu, Rachel F. Gerson, Rina Patel, Robert L. Gutierrez, Robyn Gebhard, Rochelle F. Andreotti, Rukya Masum, Ryan Woods, Sabala Mandava, Samantha G. Harrington, Samir Parikh, Sammy Chu, Sandeep S. Arora, Sandra M. Meyers, Sanjay Prabhu, Sara Shams, Sarah Pittman, Sejal N. Patel, Shelby Payne, Steven W. Hetts, Tarek A. Hijaz, Teresa Chapman, Thomas W. Loehfelm, Titania Juang, Toshimasa J. Clark, Valeria Potigailo, Vinil Shah, Virginia Planz, Vivek Kalia, Wendy DeMartini, William P. Dillon, Yasha Gupta, Yilun Koethe, Zachary Hartley-Blossom, Zhen Jane Wang, Geraldine McGinty, Adina Haramati, Laveil M. Allen, Pauline Germaine
Publikováno v: Clinical imaging. 93
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1153d442685fa3405a75116c587ed7d1
https://pubmed.ncbi.nlm.nih.gov/36064645
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje