Zobrazeno 1 - 10 of 58 pro vyhledávání: '"Kathryn P. Lowry"'
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Akademický článek
Breast cancer risk, worry, and anxiety: Effect on patient perceptions of false-positive screening results
Autor: Janie M. Lee, Kathryn P. Lowry, Jessica E. Cott Chubiz, J. Shannon Swan, Tina Motazedi, Elkan F. Halpern, Anna N.A. Tosteson, G. Scott Gazelle, Karen Donelan
Publikováno v: Breast, Vol 50, Iss , Pp 104-112 (2020)
Objective: The impact of mammography screening recall on quality-of-life (QOL) has been studied in women at average risk for breast cancer, but it is unknown whether these effects differ by breast cancer risk level. We used a vignette-based survey to
Externí odkaz: https://doaj.org/article/4b3b821ba3b34b719688367f10093978
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3
Performance of Statistical and Machine Learning Risk Prediction Models for Surveillance Benefits and Failures in Breast Cancer Survivors
Autor: Yu-Ru Su, Diana S.M. Buist, Janie M. Lee, Laura Ichikawa, Diana L. Miglioretti, Erin J. Aiello Bowles, Karen J. Wernli, Karla Kerlikowske, Anna Tosteson, Kathryn P. Lowry, Louise M. Henderson, Brian L. Sprague, Rebecca A. Hubbard
Publikováno v: Cancer Epidemiology, Biomarkers & Prevention. 32:561-571
Background: Machine learning (ML) approaches facilitate risk prediction model development using high-dimensional predictors and higher-order interactions at the cost of model interpretability and transparency. We compared the relative predictive perf
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::491da2ea9bfa12b0059feaedf99c5e24
https://doi.org/10.1158/1055-9965.epi-22-0677
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4
Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation
Autor: Nathaniel Hendrix, Kathryn P. Lowry, Joann G. Elmore, William Lotter, Gregory Sorensen, William Hsu, Geraldine J. Liao, Sana Parsian, Suzanne Kolb, Arash Naeim, Christoph I. Lee
Publikováno v: Hendrix, N, Lowry, K P, Elmore, J G, Lotter, W, Sorensen, G, Hsu, W, Liao, G J, Parsian, S, Kolb, S, Naeim, A & Lee, C I 2022, ' Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation ', Journal of the American College of Radiology : JACR, vol. 19, no. 10, pp. 1098-1110 . https://doi.org/10.1016/j.jacr.2022.06.019
Journal of the American College of Radiology : JACR, 19(10), 1098-1110. Elsevier BV
BACKGROUND: Artificial intelligence (AI) may improve cancer detection and risk prediction during mammography screening, but radiologists' preferences regarding its characteristics and implementation are unknown. PURPOSE: To quantify how different att
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44139ebf6d8d6f4f15b318dcb72158fd
https://doi.org/10.1016/j.jacr.2022.06.019
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