Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Alan, Karthikesalingam"'
Autor:
Narayan Hegde, Madhurima Vardhan, Deepak Nathani, Emily Rosenzweig, Cathy Speed, Alan Karthikesalingam, Martin Seneviratne
Publikováno v:
PLOS Digital Health, Vol 3, Iss 4, p e0000431 (2024)
Large language models (LLMs) have shown promise for task-oriented dialogue across a range of domains. The use of LLMs in health and fitness coaching is under-explored. Behavior science frameworks such as COM-B, which conceptualizes behavior change in
Externí odkaz:
https://doaj.org/article/a54a27c1626f4ec397d860b0cf552243
Autor:
Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities. An important step is to characterize the (un)fairness of ML models—their tenden
Externí odkaz:
https://doaj.org/article/5e812a6ba14c4f0788ae272b2b62f576
Autor:
Cathy Speed, Thomas Arneil, Robert Harle, Alex Wilson, Alan Karthikesalingam, Michael McConnell, Justin Phillips
Publikováno v:
PLOS Digital Health, Vol 2, Iss 4, p e0000236 (2023)
BackgroundPhotoplethysmography (PPG) sensors, typically found in wrist-worn devices, can continuously monitor heart rate (HR) in large populations in real-world settings. Resting heart rate (RHR) is an important biomarker of morbidities and mortality
Externí odkaz:
https://doaj.org/article/b1ee876b43d04e729bd4c4ba54cdecf1
Autor:
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel S. W. Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-23 (2021)
Abstract Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches w
Externí odkaz:
https://doaj.org/article/fd25beaf97d74f9280c25347f7b195a2
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-9 (2019)
Abstract Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being
Externí odkaz:
https://doaj.org/article/308c3163b3754ef196702f9b7b52ee55
Autor:
Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, Ruheena Mendes, Michelle Livne, Jeffrey De Fauw, Yojan Patel, Clemens Meyer, Harry Askham, Bernadino Romera-Paredes, Christopher Kelly, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Bethany Garie, Yasmin McQuinlan, Sarah Ireland, Kiarna Hampton, Krystle Fuller, Hugh Montgomery, Geraint Rees, Mustafa Suleyman, Trevor Back, Cían Owen Hughes, Joseph R Ledsam, Olaf Ronneberger
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e26151 (2021)
BackgroundOver half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This plann
Externí odkaz:
https://doaj.org/article/9f11f2c502c14834af5677c6e22c37ac
Autor:
Jonathan Pearson-Stuttard, Alastair K Denniston, Darren Treanor, Sebastian Vollmer, Xiaoxuan Liu, Dominic King, Penny Whiting, Felix Greaves, Pasha Normahani, Trishan Panch, Sheraz R Markar, Viknesh Sounderajah, Leanne Harling, Karel Moons, Patrick M Bossuyt, Bilal Akhter Mateen, Alan Karthikesalingam, Matthew McInnes, Shravya Shetty, Jeffrey De Fauw, Jonathan Godwin, Nader Rifai, Nenad Tomasev, Ravi Aggarwal
Publikováno v:
BMJ Open, Vol 11, Iss 6 (2021)
Introduction Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not addres
Externí odkaz:
https://doaj.org/article/866c1993ea2e4e0a89f3514d7125111d
Autor:
Madhurima Vardhan, Narayan Hegde, Deepak Nathani, Emily Rosenzweig, Alan Karthikesalingam, Martin Seneviratne
Large language models (LLMs) have shown promise for task-oriented dialogue across a range of domains. The use of LLMs in health and fitness coaching is under-explored. Behavior science frameworks such as COM-B, which conceptualizes behavior change in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf3681306ce964dd26fa0dd86aea358
https://doi.org/10.1101/2023.03.31.23287995
https://doi.org/10.1101/2023.03.31.23287995
Autor:
Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-19 (2017)
Abstract Background Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring
Externí odkaz:
https://doaj.org/article/7229a7098d984d659ebe55febcabd25e
Autor:
Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Taylan Cemgil, Alan Karthikesalingam, Sven Gowal, Ira Ktena
Domain generalization remains a ubiquitous challenge for machine learning in healthcare. Model performance in real-world conditions might be lower than expected due to discrepancies between the data encountered in deployment environments and datasets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb018e47984f932fcb4a0d86dbf2eef