Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Emily Conant"'
Autor:
Lisa Messersmith, Cherryl Kolhe, Alyana Ladha, Prabir Das, Sowmya R Rao, Marym Mohammady, Emily Conant, Rejesh Bose, Nithya Ramanathan, Archana Patel, Patricia L Hibberd
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 5, p e0000393 (2024)
Nearly one quarter (600,000) of all neonatal deaths worldwide per year occur in India. To reduce neonatal mortality, the Indian Ministry of Health and Family Welfare established neonatal care units, including neonatal intensive care units and special
Externí odkaz:
https://doaj.org/article/fba4d8e4229c415091efe6ce7df53c03
Autor:
Emily Conant, Marym Mohammady, Archana Patel, James S Summers, Patricia L Hibberd, Nithya Ramanathan, Lisa J Messersmith, Cherryl Kolhe, Alyana Ladha, Sowmya R Rao, Prabir Das
Publikováno v:
Gates Open Research, Vol 6 (2022)
Background: Approximately 25% of all neonatal deaths worldwide occur in India. The Indian Government has established Special Neonatal Care Units (SNCUs) in district and sub-district level hospitals to reduce neonatal mortality, but mortality rates ha
Externí odkaz:
https://doaj.org/article/92a384b1d4e34b86ad78ff41ea8250d8
Autor:
Haley Letter, Meridith Peratikos, Alicia Toledano, Jeffrey Hoffmeister, Robert Nishikawa, Emily Conant, Julie Shisler, Santo Maimone, Hector Diaz de Villegas
Publikováno v:
Journal of Breast Imaging. 5:258-266
Objective The purpose of this study is to assess the “real-world” impact of an artificial intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) screening exams following 12 months of utilization in a subspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::942f51e3b1bc34c17dcb448bd32aeea6
https://doi.org/10.1093/jbi/wbad015
https://doi.org/10.1093/jbi/wbad015
Autor:
Despina Kontos, Emily Conant, Mitchell Schnall, Michael Feldman, Aimilia Gastounioti, Eric A. Cohen, Lauren Pantalone, Elizabeth S. McDonald, Jennifer Rowland, Rhea D. Chitalia
Purpose:Identifying imaging phenotypes and understanding their relationship with prognostic markers and patient outcomes can allow for a noninvasive assessment of cancer. The purpose of this study was to identify and validate intrinsic imaging phenot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5264471a42f3edab52fce8d7ff9bcd60
https://doi.org/10.1158/1078-0432.c.6528428.v1
https://doi.org/10.1158/1078-0432.c.6528428.v1
Autor:
Despina Kontos, Emily Conant, Mitchell Schnall, Michael Feldman, Aimilia Gastounioti, Eric A. Cohen, Lauren Pantalone, Elizabeth S. McDonald, Jennifer Rowland, Rhea D. Chitalia
Supplementary data includes appendix of extracted Radiomic features. Figure S1 shows a summary of patient characteristics. Figure S2 shows the radiomic analysis workflow. Figure S3 shows representative cases from heterogeneity phenotypes. Figure S4 s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::001536fdff838a04af4d659c013819d0
https://doi.org/10.1158/1078-0432.22473149
https://doi.org/10.1158/1078-0432.22473149
Publikováno v:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 40(20)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ae68606c7e027d5a4610fc74f535cd3
https://pubmed.ncbi.nlm.nih.gov/35452271
https://pubmed.ncbi.nlm.nih.gov/35452271
Autor:
Mattia A. Mahmoud, Anne Marie McCarthy, Despina Kontos, Emily Conant, Jinbo Chen, Sarah Ehsan, Lauren Pantalone, Walter Mankowski
Publikováno v:
Cancer Prevention Research. 16:P022-P022
Background: Although mammographic density (MD) is a strong predictor of invasive breast cancer, it has been shown to increase the discriminatory ability of existing risk prediction models only slightly. Breast density is assessed visually by radiolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae8913feecb3a320908a56eac30932f
https://doi.org/10.1158/1940-6215.precprev22-p022
https://doi.org/10.1158/1940-6215.precprev22-p022
Autor:
Anne Marie McCarthy, Yi Liu, Sarah Ehsan, Zoe Guan, Jane Liang, Theodore Huang, Kevin Hughes, Alan Semine, Despina Kontos, Emily Conant, Constance Lehman, Katrina Armstrong, Danielle Braun, Giovanni Parmigiani, Jinbo Chen
Publikováno v:
Cancers
Cancers, Vol 14, Iss 45, p 45 (2022)
Cancers; Volume 14; Issue 1; Pages: 45
Cancers, Vol 14, Iss 45, p 45 (2022)
Cancers; Volume 14; Issue 1; Pages: 45
Simple Summary Several statistical models exist to predict a person’s risk of breast cancer. Risk assessment models can guide cancer screening approaches by identifying individuals who would benefit from additional screening. In this study, we comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcf4f9506e5a0f35fae35be03f7f72a3
http://europepmc.org/articles/PMC8750569
http://europepmc.org/articles/PMC8750569
Autor:
Lisa J Messersmith, Alyana Ladha, Cherryl Kolhe, Archana Patel, James S Summers, Sowmya R Rao, Prabir Das, Marym Mohammady, Emily Conant, Nithya Ramanathan, Patricia L Hibberd
Publikováno v:
Gates Open Research. 6:58
Background: Approximately 25% of all neonatal deaths worldwide occur in India. The Indian Government has established Special Neonatal Care Units (SNCUs) in district and sub-district level hospitals to reduce neonatal mortality, but mortality rates ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138f9b55e711e0dfb57a2ebd2b7137b1
https://doi.org/10.12688/gatesopenres.13479.1
https://doi.org/10.12688/gatesopenres.13479.1
Autor:
Nader, Ghassemi, Xu, Lu, Yefan, Tian, Emily, Conant, Yanci, Yan, Xiaoyuan, Zhou, Joseph H, Ross
Publikováno v:
ACS applied materialsinterfaces. 10(42)
We present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3e6eb336e5bfa8f1963ad3c02ff307bb
https://pubmed.ncbi.nlm.nih.gov/30251531
https://pubmed.ncbi.nlm.nih.gov/30251531