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Cardiovascular

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England

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Pages 974-983 | Received 18 May 2022, Accepted 13 Jul 2022, Published online: 03 Aug 2022

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Shreeya Patel, Thitima Kongnakorn, Andreas Nikolaou, Yassir Javaid & Ruth Mokgokong. (2023) Cost-effectiveness of targeted screening for non-valvular atrial fibrillation in the United Kingdom in older patients using digital approaches. Journal of Medical Economics 26:1, pages 326-334.
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Articles from other publishers (4)

Yuki Kawamura, Alireza Vafaei Sadr, Vida Abedi & Ramin Zand. (2024) Many Models, Little Adoption—What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?. Journal of Clinical Medicine 13:5, pages 1313.
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Kevin G. Pollock, Carissa Dickerson, Manjit Kainth, Sarah Lawton, Michael Hurst, Daniel M. Sugrue, Chris Arden, D. Wyn Davies, Anne-Céline Martin, Belinda Sandler, Jason Gordon, Usman Farooqui, David Clifton, Christian Mallen, Jennifer Rogers, Nathan R. Hill, A. John Camm & Alexander T. Cohen. (2024) Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers. BMC Primary Care 25:1.
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Nadir Saoudi & Henri Julien. (2024) Rapport 23-21. Intelligence artificielle appliquée à la rythmologie cardiaque : perspectives et propositions. Bulletin de l'Académie Nationale de Médecine 208:1, pages 1-8.
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Mohammed Q. Al-sabbagh, Sibi ThirunavukkarasuPrasanna Eswaradass. (2023) Advances in Cardiac Workup for Transient Ischemic Attack: Improving Diagnostic Yield and Reducing Recurrent Stroke Risk. Cardiology in Review.
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