Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tracey A. Brereton"'
Autor:
Tracey A. Brereton, MS, Momin M. Malik, PhD, MS, MSc, Lauren M. Rost, PhD, MS, Joshua W. Ohde, PhD, Lu Zheng, PhD, MS, Kristelle A. Jose, MS, Kevin J. Peterson, PhD, MS, David Vidal, JD, Mark A. Lifson, PhD, Joe Melnick, BS, Bryce Flor, BS, Jason D. Greenwood, MD, MS, Kyle Fisher, MPA, Shauna M. Overgaard, PhD
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 2, Pp 246-251 (2024)
Externí odkaz:
https://doaj.org/article/bc76080cddbe46418191df6817137340
Autor:
Joshua W. Ohde, Momin M. Malik, Shauna M. Overgaard, Tracey A. Brereton, Lu Zheng, Kevin J. Peterson, Lauren M. Rost
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 167-168 (2024)
OBJECTIVES/GOALS: Healthcare sectors are rushing to develop AI models. Yet, a dearth of coordinated practices leaves many teams struggling to implement models into practice. The Enterprise AI Translation Advisory Board uses across-disciplinary team t
Externí odkaz:
https://doaj.org/article/ad6ea10813ed44fbab8d2688780f2fb9
Autor:
Tracey A Brereton, Momin M Malik, Mark Lifson, Jason D Greenwood, Kevin J Peterson, Shauna M Overgaard
Publikováno v:
Interactive Journal of Medical Research, Vol 12, p e45903 (2023)
BackgroundDespite the touted potential of artificial intelligence (AI) and machine learning (ML) to revolutionize health care, clinical decision support tools, herein referred to as medical modeling software (MMS), have yet to realize the anticipated
Externí odkaz:
https://doaj.org/article/303e2528a04448818c57ebd36ed2e23e
Autor:
Tracey A Brereton, Momin M Malik, Mark A Lifson, Jason D Greenwood, Kevin J Peterson, Shauna M Overgaard
Publikováno v:
Interactive Journal of Medical Research.
BACKGROUND Despite the potential of artificial intelligence/machine learning (AI/ML)-based medical modeling software (MMS) to revolutionize healthcare, the anticipated benefits have yet to be realized due to acknowledged gaps in translation. These ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44fe05abf981c11aa2f89c4dc11c786e
https://doi.org/10.2196/45903
https://doi.org/10.2196/45903
Autor:
Tracey A. Brereton, Momin Malik, Mark A. Lifson, Jason D. Greenwood, Kevin J. Peterson, Shauna M. Overgaard
BackgroundTranslation of artificial intelligence/machine learning (AI/ML)-based medical modeling software (MMS) into clinical settings requires rigorous evaluation by interdisciplinary teams and across the AI lifecycle. The fragmented nature of avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e85328d5bf3628db44bc8f99ce584ebc
https://doi.org/10.1101/2023.01.21.23284858
https://doi.org/10.1101/2023.01.21.23284858
Autor:
Lu Zheng, Joshua W Ohde, Shauna M Overgaard, Tracey A Brereton, Kristelle A Jose, Chung-II Wi, Kevin J Peterson, Young J Juhn
BACKGROUND Personalized asthma management depends on a clinician's ability to efficiently review patient's data and make timely clinical decisions. Unfortunately, efficient and effective review of these data is impeded by the varied format, location,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afab1d3f0a75236d99967e415db498c7
https://doi.org/10.2196/preprints.45391
https://doi.org/10.2196/preprints.45391
Autor:
Lu Zheng, Joshua W. Ohde, Shauna M. Overgaard, Tracey A. Brereton, Kristelle A. Jose, Chung-Il Wi, Kevin J. Peterson, Young J. Juhn
BackgroundPersonalized asthma management depends on a clinician’s ability to efficiently review patient’s data and make timely clinical decisions. Unfortunately, efficient and effective review of these data is impeded by the varied format, locati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24eb2dfe0eab722446c93e5ed9f3b647
https://doi.org/10.1101/2022.12.28.22282986
https://doi.org/10.1101/2022.12.28.22282986
Autor:
Lu Zheng, Joshua W Ohde, Shauna M Overgaard, Tracey A Brereton, Kristelle Jose, Chung-Il Wi, Kevin J Peterson, Young J Juhn
Publikováno v:
JMIR Formative Research, Vol 8, p e45391 (2024)
BackgroundPersonalized asthma management depends on a clinician’s ability to efficiently review patient’s data and make timely clinical decisions. Unfortunately, efficient and effective review of these data is impeded by the varied format, locati
Externí odkaz:
https://doaj.org/article/0b692933a2294f638a63454947037afc