Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Judy W Gichoya"'
Autor:
Jack Gallifant, Danielle S. Bitterman, Leo Anthony Celi, Judy W. Gichoya, Joao Matos, Liam G. McCoy, Robin L. Pierce
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024)
Healthcare AI faces an ethical dilemma between selective and equitable deployment, exacerbated by flawed performance metrics. These metrics inadequately capture real-world complexities and biases, leading to premature assertions of effectiveness. Imp
Externí odkaz:
https://doaj.org/article/2930d30123f84feeb3bb747b2a292cb1
Autor:
Sicheng Hao, MS, Katelyn Dempsey, MPH, João Matos, MS, Christopher E. Cox, MD, MPH, Veronica Rotemberg, MD, PhD, Judy W. Gichoya, MD, Warren Kibbe, PhD, Chuan Hong, PhD, An-Kwok Ian Wong, MD, PhD
Publikováno v:
Critical Care Explorations, Vol 6, Iss 9, p e1133 (2024)
OBJECTIVE:. Pulse oximetry, a ubiquitous vital sign in modern medicine, has inequitable accuracy that disproportionately affects minority Black and Hispanic patients, with associated increases in mortality, organ dysfunction, and oxygen therapy. Prev
Externí odkaz:
https://doaj.org/article/bf27ea75f4a14188b94723b624829756
Autor:
Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya
Publikováno v:
EBioMedicine, Vol 104, Iss , Pp 105174- (2024)
Summary: Background: Chest X-rays (CXR) are essential for diagnosing a variety of conditions, but when used on new populations, model generalizability issues limit their efficacy. Generative AI, particularly denoising diffusion probabilistic models (
Externí odkaz:
https://doaj.org/article/7aad470c99b04cc6a0d62701c5eca123
Autor:
Philip Yang, MD, MSc, Ismail A. Gregory, MD, Chad Robichaux, MPH, Andre L. Holder, MD, MSc, Greg S. Martin, MD, MSc, Annette M. Esper, MD, MSc, Rishikesan Kamaleswaran, PhD, Judy W. Gichoya, MD, Sivasubramanium V. Bhavani, MD, MS
Publikováno v:
Critical Care Explorations, Vol 6, Iss 3, p e1059 (2024)
OBJECTIVES:. To develop and validate machine learning (ML) models to predict high-flow nasal cannula (HFNC) failure in COVID-19, compare their performance to the respiratory rate-oxygenation (ROX) index, and evaluate model accuracy by self-reported r
Externí odkaz:
https://doaj.org/article/aa8b5228a84e4813b909d5b356f7c8ec
Autor:
Walther N K A van Mook, Iwan C C van der Horst, Laure Wynants, Bas C T van Bussel, Leo A Celi, Ferishta Bakhshi-Raiez, Nick Wilmes, Charlotte W E Hendriks, Caspar T A Viets, Simon J W M Cornelissen, Josanne Cox-Brinkman, Nicole Martinez-Martin, Judy W Gichoya, Craig Watkins
Publikováno v:
BMJ Global Health, Vol 8, Iss 5 (2023)
Background The COVID-19 pandemic required science to provide answers rapidly to combat the outbreak. Hence, the reproducibility and quality of conducting research may have been threatened, particularly regarding privacy and data protection, in varyin
Externí odkaz:
https://doaj.org/article/13e8fd25d069462092d741fecbdb7a0a
Autor:
Joe Zhang, Stephen Whebell, Jack Gallifant, Sanjay Budhdeo, Heather Mattie, Piyawat Lertvittayakumjorn, Maria del Pilar Arias Lopez, Beatrice J Tiangco, Judy W Gichoya, Hutan Ashrafian, Leo A Celi, James T Teo
Publikováno v:
The Lancet: Digital Health, Vol 4, Iss 4, Pp e212-e213 (2022)
Externí odkaz:
https://doaj.org/article/f7fb625c778e43d1a2f68a9b67035590
Publikováno v:
Data in Brief, Vol 38, Iss , Pp 107287- (2021)
Most human activity recognition datasets that are publicly available have data captured by using either smartphones or smartwatches, which are usually placed on the waist or the wrist, respectively. These devices obtain one set of acceleration and an
Externí odkaz:
https://doaj.org/article/d11f30b7bc12448eaad3a68fd3b3b215
Publikováno v:
Healthcare Informatics Research, Vol 25, Iss 2, Pp 89-98 (2019)
ObjectivesOpen-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance of the five most popular
Externí odkaz:
https://doaj.org/article/2d09c3fd740e41758dd25f762ef35d96
Autor:
Hanzhou Li, John T Moon, Saptarshi Purkayastha, Leo Anthony Celi, Hari Trivedi, Judy W Gichoya
Publikováno v:
The Lancet Digital Health. 5:e333-e335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24682a1c8383c384411e09e770278e9
https://doi.org/10.1016/s2589-7500(23)00083-3
https://doi.org/10.1016/s2589-7500(23)00083-3
Autor:
Ramon Correa, Mahtab Shaan, Hari Trivedi, Bhavik Patel, Leo Anthony G. Celi, Judy W. Gichoya, Imon Banerjee
Publikováno v:
Journal of Medical and Biological Engineering. 42:816-827
BackgroundArtificial Intelligence (AI) models have demonstrated expert-level performance in image-based recognition and diagnostic tasks, resulting in increased adoption and FDA approvals for clinical applications. The new challenge in AI is to under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edb52619d81aa75b74dbd4c7748abb22
https://doi.org/10.1007/s40846-022-00754-z
https://doi.org/10.1007/s40846-022-00754-z