Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rebecca L. Danforth"'
Autor:
Rebecca L. Danforth, Chika F. Ezeana, Stephen T. C. Wong, Mark L. Vassallo, Solomon S Y Wong, Kimberly N Goode, Mamta Puppala, Miguel Valdivia y Alvarado
Publikováno v:
Medicine
Knowing the areas of service, actions, and parameters that can influence patient perception about a service provided can help hospital executives and healthcare workers to devise improvement plans, leading to higher patient satisfaction.To identify i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe55439cbf3881e2c38e22f6d6b716aa
http://europepmc.org/articles/PMC7748194
http://europepmc.org/articles/PMC7748194
Autor:
Shenyi Chen, Tiancheng He, Mark L. Vassallo, Zhong Xue, Lin Wang, Mamta Puppala, Rebecca L. Danforth, Chika F. Ezeana, Xiaohui Yu, Stephen T. C. Wong
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-7 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-7 (2019)
Patient falls during hospitalization can lead to severe injuries and remain one of the most vexing patient-safety problems facing hospitals. They lead to increased medical care costs, lengthened hospital stays, more litigation, and even death. Existi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d63440d3400a5e910eb63bf69bbe9ca
https://doi.org/10.1038/s41746-019-0200-3
https://doi.org/10.1038/s41746-019-0200-3
Autor:
Kai Liu, Xiaohui Yu, Hong Zhao, Steven S. Shen, Stephen T. C. Wong, Tiancheng He, Ye Wang, Jiasong Li, Raksha Raghunathan, Rebecca L. Danforth, Jun Liu, Feibi Zheng, Yunjie He
Publikováno v:
Biomed Opt Express
Label-free high-resolution molecular and cellular imaging strategies for intraoperative use are much needed, but not yet available. To fill this void, we developed an artificial intelligence-augmented molecular vibrational imaging method that integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43250db207cd1eaed9fa56ef11f5e4cd
https://doi.org/10.1364/boe.428738
https://doi.org/10.1364/boe.428738
Autor:
Tiancheng He, Tejal Patel, Joe Ensor, Yan siang Huang, Jenny C. Chang, Mamta Puppala, Stephen T. C. Wong, Xiaohui Yu, Ping hsuan Chou, Zheng Yin, Rebecca L. Danforth, Chika F. Ezeana, Shenyi Chen, Lin Wang
Publikováno v:
JCO clinical cancer informatics. 3
PURPOSE The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize mammographic reporting to assess cancer risk and facilitate the decision to biopsy. Because of substantial interobserver variability in the applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9bfce557cdde2410d2bfa34fb30fcee
https://pubmed.ncbi.nlm.nih.gov/31141423
https://pubmed.ncbi.nlm.nih.gov/31141423