Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Marc D Kohli"'
Publikováno v:
PLOS Digital Health, Vol 3, Iss 2, p e0000297 (2024)
Radiology specific clinical decision support systems (CDSS) and artificial intelligence are poorly integrated into the radiologist workflow. Current research and development efforts of radiology CDSS focus on 4 main interventions, based around exam c
Externí odkaz:
https://doaj.org/article/2c879528afe14b67a7f57248058eff45
Publikováno v:
Current Oncology Reports. 25:243-250
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5c9771e3fbc5d4f7c3e7084bf0d1beb
https://doi.org/10.1007/s11912-023-01371-y
https://doi.org/10.1007/s11912-023-01371-y
Autor:
Joshua K. Kays, Safi Shahda, Melissa Stanley, Teresa M. Bell, Bert H. O'Neill, Marc D. Kohli, Marion E. Couch, Leonidas G. Koniaris, Teresa A. Zimmers
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 9, Iss 4, Pp 673-684 (2018)
Abstract Background By the traditional definition of unintended weight loss, cachexia develops in ~80% of patients with pancreatic ductal adenocarcinoma (PDAC). Here, we measure the longitudinal body composition changes in patients with advanced PDAC
Externí odkaz:
https://doaj.org/article/9f89d638b69540c7a93b551592c5638c
Autor:
Smitha Ganeshan, Logan Pierce, Michelle Mourad, Timothy J Judson, Marc D Kohli, Anobel Y Odisho, William Brown
Publikováno v:
Journal of the American Medical Informatics Association. 29:2096-2100
While many case studies have described the implementation of self-scheduling tools, which allow patients to schedule visits and imaging studies asynchronously online, none have explored the impact of self-scheduling on equitable access to care.1 Usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f80f6c0a05edfa54b7d473daf9ebb3fd
https://doi.org/10.1093/jamia/ocac152
https://doi.org/10.1093/jamia/ocac152
Autor:
Jason Luong, Rebecca Smith-Bindman, Biraj Bista, J. Anthony Seibert, Philip W. Chu, Bradley N. Delman, Sophronia Yu, Carly Stewart, Andrew J. Einstein, Alejandro Alejandrez Cisneros, Yifei Wang, Andrew B. Bindman, Patrick S Romano, Antonio C. Westphalen, Denise Bos, Michael J. Flynn, Robert Chung, Marc D. Kohli
Publikováno v:
Radiology
BACKGROUND: Lack of standardization in CT protocol choice contributes to radiation dose variation. PURPOSE: To create a framework to assess radiation doses within broad CT categories defined according to body region and clinical imaging indication an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9403bca3944e5528ff916804e750ac31
https://pubmed.ncbi.nlm.nih.gov/34751622
https://pubmed.ncbi.nlm.nih.gov/34751622
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
https://escholarship.org/uc/item/6711v9mz
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
https://pubmed.ncbi.nlm.nih.gov/36371471
Autor:
Sara M. Dupont, Jared Narvid, Adi Price, Jason F. Talbott, Andrew L. Callen, Bao H. Do, David McCoy, Marc D. Kohli, Ben Laguna
Publikováno v:
J Digit Imaging
The ideal radiology report reduces diagnostic uncertainty, while avoiding ambiguity whenever possible. The purpose of this study was to characterize the use of uncertainty terms in radiology reports at a single institution and compare the use of thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd56300c8685336e79f5cb6b65063886
https://doi.org/10.1007/s10278-020-00379-1
https://doi.org/10.1007/s10278-020-00379-1
Publikováno v:
Abdominal Radiology. 45:4084-4089
Artificial intelligence is a technique that holds promise for helping radiologists improve the care of our patients. At the same time, implementation decisions we make now can have a long-lasting effect on patient outcomes. In the following article,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1deca66f7fdc01eec3eca43cbd774dcd
https://doi.org/10.1007/s00261-020-02471-0
https://doi.org/10.1007/s00261-020-02471-0
Autor:
Hailey H. Choi, Amy L. Kotsenas, Joshua Vic Chen, Christina Bronsky, Christopher J. Roth, Marc D. Kohli
Publikováno v:
J Digit Imaging
Journal of digital imaging, vol 35, iss 2
Journal of digital imaging, vol 35, iss 2
The objective is to determine patients’ utilization rate of radiology image viewing through an online patient portal and to understand its impact on radiologists. IRB approval was waived. In this two-part, multi-institutional study, patients’ ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0f7c33548cee834853366ba6ce6e28d
https://pubmed.ncbi.nlm.nih.gov/35022926
https://pubmed.ncbi.nlm.nih.gov/35022926