Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Joe Zhang"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e56532 (2024)
BackgroundLarge language models (LLMs) have dominated public interest due to their apparent capability to accurately replicate learned knowledge in narrative text. However, there is a lack of clarity about the accuracy and capability standards of LLM
Externí odkaz:
https://doaj.org/article/a475f3cc79b34c7ea9f7b636ecc78cbd
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Objectives Risk stratification tools that predict healthcare utilisation are extensively integrated into primary care systems worldwide, forming a key component of anticipatory care pathways, where high-risk individuals are targeted by preventative i
Externí odkaz:
https://doaj.org/article/b1ee025e0dee4616b4b5515612b887f0
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Health information exchange (HIE) is seen as a key component of effective care but remains poorly evidenced at a health system level. In the UK National Health Service (NHS), the ability to share primary care data with secondary care clinici
Externí odkaz:
https://doaj.org/article/23676e19394e43128be8bb90c10d7fa7
Autor:
Joe Zhang, DO, MS, Santo Maimone, MD, Lauren Cornell, MD, Miglena K. Komforti, DO, Haley Letter, MD
Publikováno v:
Radiology Case Reports, Vol 18, Iss 5, Pp 1738-1742 (2023)
Breast malignancies diagnosed from screening mammography most commonly present as a new or enlarging lesion at the time of diagnosis. We present the unusual case of an encapsulated papillary carcinoma that demonstrated decreasing size on mammogram ov
Externí odkaz:
https://doaj.org/article/d01d8ec4a3444b358c324a4fb427b626
Autor:
Joe Zhang, BMBCh, Jess Morley, MS, Jack Gallifant, MSc, Chris Oddy, MBBS, James T Teo, ProfPhD, Hutan Ashrafian, ProfPhD, Brendan Delaney, ProfPhD, Ara Darzi, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 10, Pp e737-e748 (2023)
Summary: The importance of big health data is recognised worldwide. Most UK National Health Service (NHS) care interactions are recorded in electronic health records, resulting in an unmatched potential for population-level datasets. However, policy
Externí odkaz:
https://doaj.org/article/88ed00a86acb4e63af9615335b42134a
Autor:
Joe Zhang, Sanjay Budhdeo, Wasswa William, Paul Cerrato, Haris Shuaib, Harpreet Sood, Hutan Ashrafian, John Halamka, James T. Teo
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Substantial interest and investment in clinical artificial intelligence (AI) research has not resulted in widespread translation to deployed AI solutions. Current attention has focused on bias and explainability in AI algorithm development,
Externí odkaz:
https://doaj.org/article/70f64d7a85d34bc4a2200cb17b2f8eca
Autor:
Hutan Ashrafian, James Teo, Robin L Pierce, Joe Zhang, Jack Gallifant, Leo Celi, Aoife Fordham
Publikováno v:
BMJ Health & Care Informatics, Vol 30, Iss 1 (2023)
Objectives Digital health inequality, observed as differential utilisation of digital tools between population groups, has not previously been quantified in the National Health Service (NHS). Deployment of universal digital health interventions, incl
Externí odkaz:
https://doaj.org/article/f7769a0d60c349ddbf9a83bd21738d1e
Autor:
Jack Gallifant, Joe Zhang, Stephen Whebell, Justin Quion, Braiam Escobar, Judy Gichoya, Karen Herrera, Ruxana Jina, Swathikan Chidambaram, Abha Mehndiratta, Richard Kimera, Alvin Marcelo, Portia Grace Fernandez-Marcelo, Juan Sebastian Osorio, Cleva Villanueva, Lama Nazer, Irene Dankwa-Mullan, Leo Anthony Celi
Publikováno v:
PLOS Global Public Health, Vol 3, Iss 8, p e0002252 (2023)
Current methods to evaluate a journal's impact rely on the downstream citation mapping used to generate the Impact Factor. This approach is a fragile metric prone to being skewed by outlier values and does not speak to a researcher's contribution to
Externí odkaz:
https://doaj.org/article/25ae2d0947ca41e5ad06effaa17f149b
Publikováno v:
PLOS Digital Health, Vol 1, Iss 9, p e0000111 (2022)
Externí odkaz:
https://doaj.org/article/26aa22c204ef455381ea5c81a8800600
Autor:
Stephen F. Whebell, Emma J. Prower, Joe Zhang, Megan Pontin, David Grant, Andrew T. Jones, Guy W. Glover
Publikováno v:
Critical Care, Vol 25, Iss 1, Pp 1-10 (2021)
Abstract Background Rapid response systems aim to achieve a timely response to the deteriorating patient; however, the existing literature varies on whether timing of escalation directly affects patient outcomes. Prior studies have been limited to us
Externí odkaz:
https://doaj.org/article/70857208463e4c218e81858ff6c6a34a