Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Henry David Jeffry Hogg"'
Publikováno v:
Future Healthcare Journal, Vol 11, Iss 3, Pp 100162- (2024)
Externí odkaz:
https://doaj.org/article/2d5af788635d41dda02aa27f4a8797db
Autor:
Aditya U Kale, Riya Dattani, Ashley Tabansi, Henry David Jeffry Hogg, Russell Pearson, Ben Glocker, Su Golder, Justin Waring, Xiaoxuan Liu, David J Moore, Alastair K Denniston
Publikováno v:
JMIR Research Protocols, Vol 13, p e48156 (2024)
BackgroundThe reporting of adverse events (AEs) relating to medical devices is a long-standing area of concern, with suboptimal reporting due to a range of factors including a failure to recognize the association of AEs with medical devices, lack of
Externí odkaz:
https://doaj.org/article/e37c5bb172714835a68ba8f9b01e434a
Autor:
Aditya U Kale, Henry David Jeffry Hogg, Russell Pearson, Ben Glocker, Su Golder, April Coombe, Justin Waring, Xiaoxuan Liu, David J Moore, Alastair K Denniston
Publikováno v:
JMIR Research Protocols, Vol 13, p e51614 (2024)
BackgroundArtificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have shown potential for a range of clinical tasks such as diagnostics, pro
Externí odkaz:
https://doaj.org/article/10990ca9f6094a26b4b4cb9e1df4cddb
Autor:
Sarim Dawar Khan, Zahra Hoodbhoy, Mohummad Hassan Raza Raja, Jee Young Kim, Henry David Jeffry Hogg, Afshan Anwar Ali Manji, Freya Gulamali, Alifia Hasan, Asim Shaikh, Salma Tajuddin, Nida Saddaf Khan, Manesh R. Patel, Suresh Balu, Zainab Samad, Mark P. Sendak
Publikováno v:
PLOS Digital Health, Vol 3, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/908263508a704ef2939e7beeb927ea10
Autor:
Ariel Yuhan Ong, Henry David Jeffry Hogg, Aditya U Kale, Priyal Taribagil, Ashley Kras, Eliot Dow, Trystan Macdonald, Xiaoxuan Liu, Pearse A Keane, Alastair K Denniston
Publikováno v:
JMIR Research Protocols, Vol 13, p e52602 (2024)
BackgroundArtificial intelligence as a medical device (AIaMD) has the potential to transform many aspects of ophthalmic care, such as improving accuracy and speed of diagnosis, addressing capacity issues in high-volume areas such as screening, and de
Externí odkaz:
https://doaj.org/article/973b14aee6ba40afb78e4fa710b43f62
Autor:
Katie Brittain, Konstantinos Balaskas, Dawn Teare, Gregory Maniatopoulos, James Talks, Pearse Keane, Henry David Jeffry Hogg
Publikováno v:
BMJ Open, Vol 13, Iss 2 (2023)
Introduction Neovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time.
Externí odkaz:
https://doaj.org/article/decea75d17a84f339a472d123c38b7e2
Autor:
Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, James Talks, Alastair K Denniston, Christopher J Kelly, Johann Malawana, Chrysanthi Papoutsi, Marion Dawn Teare, Pearse A Keane, Fiona R Beyer, Gregory Maniatopoulos
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e39742 (2023)
BackgroundThe rhetoric surrounding clinical artificial intelligence (AI) often exaggerates its effect on real-world care. Limited understanding of the factors that influence its implementation can perpetuate this. ObjectiveIn this qualitative system
Externí odkaz:
https://doaj.org/article/5ada9372b8a24e24ac76151f030cdf92
Publikováno v:
Advances in Therapy. 40:2563-2572
Autor:
Henry David Jeffry Hogg, Katie Brittain, Dawn Teare, James Talks, Konstantinos Balaskas, Pearse Keane, Gregory Maniatopoulos
Publikováno v:
BMJ Open. 13:e069443
IntroductionNeovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time. E
Autor:
Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, Pearse A Keane, Fiona R Beyer, Gregory Maniatopoulos
Background Implementation science is a pragmatic and multidisciplinary field, centred on the application of a wide range of theoretical approaches to close ‘know-do’ gaps in healthcare. The implementation science community is made of individuals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b291af0544cd1def89fb8d8c73adf3
https://doi.org/10.21203/rs.3.rs-1082323/v1
https://doi.org/10.21203/rs.3.rs-1082323/v1