Enhanced detection of atrial fibrillation after ischaemic stroke through meta-machine learning: multi-national development, external validation, and impact on clinical outcomes analysis

Nadarajah, R. orcid.org/0000-0001-9895-9356, Wu, J., Gao, C. et al. (40 more authors) (Accepted: 2026) Enhanced detection of atrial fibrillation after ischaemic stroke through meta-machine learning: multi-national development, external validation, and impact on clinical outcomes analysis. The Lancet Digital Health. ISSN: 2589-7500 (In Press)

Metadata

Item Type: Article
Authors/Creators:
  • Nadarajah, R. ORCID logo https://orcid.org/0000-0001-9895-9356
  • Wu, J.
  • Gao, C.
  • Raveendra, K.
  • Haris, M.
  • Joseph, T.
  • Hayward, C.
  • Shuweihdi, F.
  • Nakao, Y.M.
  • Kawakami, K.
  • Hsu, J-C
  • Yu, C-C
  • Lin, L-Y
  • Adamou, A.
  • Perlepe, K.
  • Vemmos, K.
  • Michel, P.
  • Ntaios, G.
  • Chang, C.
  • Wai, A.K-C.
  • Cheung, B.M.Y.
  • Zhou, J.
  • Tse, G.
  • Benita, T.R.
  • Rokach, L.
  • Arbel, R.
  • Haim, M.
  • Zahger, D.
  • Dawson, J.
  • Katsas, G.
  • Cameron, A.
  • Ondraskova, E.
  • Lip, G.Y.H.
  • Elkind, M.S.V.
  • Longstreth Jr, W.T.
  • Tirschwell, D.L.
  • Kamel, H.
  • Marshall, R.S.
  • Sanna, T.
  • Buck, B.H.
  • Gurol, M.E.
  • Camm, A.J.
  • Gale, C.P.
Dates:
  • Accepted: 16 August 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
Funder
Grant number
British Heart Foundation Accounts Payable - Gloria Sankey
CC/22/250026
British Heart Foundation Accounts Payable - Gloria Sankey
TA/PPA/25/215005
Date Deposited: 18 Aug 2026 09:19
Last Modified: 18 Aug 2026 09:19
Status: In Press
Publisher: Elsevier
Open Archives Initiative ID (OAI ID):

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