|
Eine Ebene nach oben |
Gruppiert nach:
Dokumententyp
| Veröffentlichungsdatum
Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 3
Zeitschriftenartikel
Vasey, Baptiste 
ORCID: https://orcid.org/0000-0002-0017-8891; Nagendran, Myura; Campbell, Bruce; Clifton, David A; Collins, Gary S; Denaxas, Spiros; Denniston, Alastair K; Faes, Livia; Geerts, Bart; Ibrahim, Mudathir; Liu, Xiaoxuan; Mateen, Bilal A; Mathur, Piyush; McCradden, Melissa D; Morgan, Lauren; Ordish, Johan; Rogers, Campbell; Saria, Suchi; Ting, Daniel S W; Watkinson, Peter; Weber, Wim; Wheatstone, Peter; McCulloch, Peter und Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947
(2022):
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
In: BMJ, Bd. 2022, Nr. 377, e070904
[PDF, 393kB]
ORCID: https://orcid.org/0000-0002-0017-8891; Nagendran, Myura; Campbell, Bruce; Clifton, David A; Collins, Gary S; Denaxas, Spiros; Denniston, Alastair K; Faes, Livia; Geerts, Bart; Ibrahim, Mudathir; Liu, Xiaoxuan; Mateen, Bilal A; Mathur, Piyush; McCradden, Melissa D; Morgan, Lauren; Ordish, Johan; Rogers, Campbell; Saria, Suchi; Ting, Daniel S W; Watkinson, Peter; Weber, Wim; Wheatstone, Peter; McCulloch, Peter und Boulesteix, Anne-Laure ORCID: https://orcid.org/0000-0002-2729-0947
(2022):
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
In: BMJ, Bd. 2022, Nr. 377, e070904
[PDF, 393kB]
Liu, Xiaoxuan; Faes, Livia; Kale, Aditya U.; Wagner, Siegfried K.; Fu, Dun Jack; Bruynseels, Alice; Mahendiran, Thushika; Moraes, Gabriella; Shamdas, Mohith; Kern, Christoph; Ledsam, Joseph R.; Schmid, Martin K.; Balaskas, Konstantinos; Topol, Eric J.; Bachmann, Lucas M.; Keane, Pearse A. und Denniston, Alastair K.
(2019):
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
In: Lancet Digital Health, Bd. 1, Nr. 6, E271-E297
Faes, Livia; Wagner, Siegfried K.; Fu, Dun Jack; Liu, Xiaoxuan; Korot, Edward; Ledsam, Joseph R.; Back, Trevor; Chopra, Reena; Pontikos, Nikolas; Kern, Christoph; Moraes, Gabriella; Schmid, Martin K.; Sim, Dawn; Balaskas, Konstantinos; Bachmann, Lucas M.; Denniston, Alastair K. und Keane, Pearse A.
(2019):
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
In: Lancet Digital Health, Bd. 1, Nr. 5, E232-E242