Zobrazeno 1 - 10 of 48 pro vyhledávání: '"Laila Cochon"'
1
Akademický článek
A Bayesian decision support sequential model for severity of illness predictors and intensive care admissions in pneumonia
Autor: Amado Alejandro Baez, Laila Cochon, Jose Maria Nicolas
Publikováno v: BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayesian Model that integr
Externí odkaz: https://doaj.org/article/13d086fd70f241dea462ae5b737c693e
Zobrazit plný text záznamu
3
Variation in Radiologists’ Follow-Up Imaging Recommendations for Small Cystic Pancreatic Lesions
Autor: Ivan K. Ip, Daniel I. Glazer, Mahsa Eskian, Ronilda Lacson, Neena Kapoor, Ramin Khorasani, Laila Cochon
Publikováno v: Journal of the American College of Radiology. 18:1405-1414
This study aimed to determine the incidence, identify imaging and patient factors, and measure individual radiologist variation associated with follow-up recommendations for small focal cystic pancreatic lesions (FCPLs), a common incidental imaging f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7658410232049c1db284edeac88941f
https://doi.org/10.1016/j.jacr.2021.06.007
Zobrazit plný text záznamu
4
Predictors of malignancy in incidental adnexal lesions identified on CT in patients with prior non-ovarian cancer
Autor: Kristine S. Burk, Ramin Khorasani, Laila Cochon, Atul B. Shinagare, Isha Gujrathi, Elizabeth A. Sadowski
Publikováno v: Abdominal Radiology. 47:320-327
To identify imaging features in incidental adnexal lesions which are associated with malignancy on portal venous phase contrast-enhanced CT in patients with known non-ovarian cancer. This IRB-approved, HIPAA-compliant retrospective study was performe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b0af6397911accce425331598428947
https://doi.org/10.1007/s00261-021-03233-2
Zobrazit plný text záznamu
5
Screening Mammography Performance Metrics of 2D Digital Mammography Versus Digital Breast Tomosynthesis in Women With a Personal History of Breast Cancer
Autor: Sonia Sahu, Laila Cochon, Catherine S. Giess, Sona A. Chikarmane, Ramin Khorasani
Publikováno v: American Journal of Roentgenology. 217:587-594
BACKGROUND. Patients with a history of breast cancer are at higher risk of subsequent breast cancers and need close clinical and imaging follow-up. Limited data are available on screening of these ...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3792697a9291deb5235a267ad7c9c5be
https://doi.org/10.2214/ajr.20.23976
Zobrazit plný text záznamu
6
Radiologist Variation in the Rates of Follow-up Imaging Recommendations Made for Pulmonary Nodules
Autor: Ronilda Lacson, Ivan K. Ip, Neena Kapoor, Laila Cochon, Mark M. Hammer, Ramin Khorasani, Giles W. Boland
Publikováno v: Journal of the American College of Radiology. 18:896-905
Objective Determine whether differences exist in rates of follow-up recommendations made for pulmonary nodules after accounting for multiple patient and radiologist factors. Methods This Institutional Review Board–approved, retrospective study was
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b48d7fef30212800608477a5057e094
https://doi.org/10.1016/j.jacr.2020.12.031
Zobrazit plný text záznamu
7
Predictors of Self-Reported Burnout Among Radiology Faculty at a Large Academic Medical Center
Autor: Giles W. Boland, Ivan K. Ip, Ramin Khorasani, Laila Cochon, Anu Gupte, Catherine S. Giess, Jessica C. Dudley
Publikováno v: Journal of the American College of Radiology. 17:1684-1691
Determine predictors of self-reported burnout among academic radiologists.In 2017, radiologists at an urban medical center completed the Stanford Wellness Survey, rating burnout via Likert scale (0: no burnout; 1: occasional stress, no burnout; 2: on
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd03162b171aa72a5c7182d4c427ff8a
https://doi.org/10.1016/j.jacr.2020.01.047
Zobrazit plný text záznamu
9
Integrity of clinical information in radiology reports documenting pulmonary nodules
Autor: Staci Gagne, Ramin Khorasani, Mark M. Hammer, Neena Kapoor, Patrick R Ching, Ronilda Lacson, Eseosa Odigie, Laila Cochon
Publikováno v: J Am Med Inform Assoc
Objective Quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports and assess impact on making follow-up recommendations. Materials and Methods This In
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4007729e667aa36568385410d40632c2
https://doi.org/10.1093/jamia/ocaa209
Zobrazit plný text záznamu
10
A Bayesian decision support sequential model for severity of illness predictors and intensive care admissions in pneumonia
Autor: Laila Cochon, Jose María Nicolás, Amado Alejandro Báez
Publikováno v: BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-9 (2019)
Dipòsit Digital de la UB
Universidad de Barcelona
BMC Medical Informatics and Decision Making
Background Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayesian Model that integrates Lact
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a509d2e55ef21f6a1927e491dc3105a7
https://doaj.org/article/13d086fd70f241dea462ae5b737c693e
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje