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Peer-Reviewed Publication
Eur Heart J2025;46(40):4090-4101.October 22, 2025Journal Article

Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool.

Jeremy A Slivnick1, Will Hawkes2, Jorge Oliveira2, Gary Woodward2, Ashley Akerman2, Alberto Gomez2, Izhan Hamza3, Viral K Desai3, Zachary Barrett-O'Keefe3, Martha Grogan3, Angela Dispenzieri3, Christopher G Scott3, Halley N Davison3, Juan Cotella1, Mathew Maurer4, Stephen Helmke4, Marielle Scherrer-Crosbie5, Marwa Soltani5, Akash Goyal6, Karolina M Zareba6, Richard K Cheng7, James N Kirkpatrick7, Tetsuji Kitano8, Masaaki Takeuchi8, Viviane Tiemi Hotta9, Marcelo Luiz Campos Vieira9, Pablo Elissamburu10, Ricardo E Ronderos10, Aldo Prado11, Efstratios Koutroumpakis12, Anita Deswal12, Amit Pursnani13, Nitasha Sarswat1, Amit R Patel14, Karima Addetia1, Frederick L Ruberg15, Michael Randazzo1, Federico M Asch16, Jamie O'Driscoll17, Nora Al-Roub18, Jordan B Strom18, Liam Kidd19, Sarah Cuddy19, Ross Upton2, Roberto M Lang1, Patricia A Pellikka3
1University of Chicago, Chicago, IL, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL 60637, USA.
2Ultromics, Ltd., Cascade Way, Oxford Business Park, Oxford, OX4 2SU, UK.
3Department of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
4Division of Cardiology, Columbia University, 622 West 168th Street, PH12-134, New York, NY 10032, USA.
5Division of Cardiovascular Medicine, University of Pennsylvania, Hospital of the University of Pennsylvania, Room 11-131, 11th Floor South Pavilion, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA.
6Division of Cardiovascular Medicine, Ohio State University, 473 W. 12th Ave, Suite 200, Columbus, OH 43210, USA.
7Division of Cardiology, University of Washington, 1959 NE Pacific Street, Box 356422, Seattle, WA 98195-6422, USA.
8Department of Cardiology, Hospital of University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8555, Japan.
9Clinical Unity of Cardiomyopathies, Heart Institute (InCor), Av. Dr. Enéas Carvalho de Aguiar, 44, Cerqueira Cezar, Sao Paolo CEP: 05403/000, Brazil.
10Division of Cardiovascular Imaging, ICBA, Blanco Encalada 1543 street - C1428DCO, CABA, Argentina.
11Division of Cardiology, Centro Privado de Cardiología, Virgen De La Merced 550, Tucuman, Argentina.
12Department of Cardiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd Unit 1451, Houston, TX 77030, USA.
13Division of Cardiology, Endeavor Health - NorthShore Cardiovascular Institute, Walgreen Building 3rd Floor, 2650 Ridge Ave, Evanston, IL 60201, USA.
14Division of Cardiovascular Medicine, University of Virginia Medical Center, 1215 Lee Street, PO Box Charlottesville, VA 800158, USA.
15Division of Cardiovascular Medicine, Boston University Chobanian & Avedisian School of Medicine, 821 Collamore Building, 72 East Concord Street, Boston, MA 02118-2308, USA.
16Division of Cardiovascular Core Labs, MedStar Health Research Institute, 100 Irving St NW, Ste EB5123, Washington, DC 20010, USA.
17Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Road, Leicester LE5 4PW, UK.
18Richard A. and Susan F. SmithCenter for Outcomes Research in Cardiology, MASCO 4375 Longwood Ave., Boston, MA 02215, USA.
19Brigham & Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.

Abstract

BACKGROUND AND AIMS: Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for echocardiography-based CA detection was assessed. METHODS: Utilizing a multisite, multiethnic dataset (n = 2612, 52% CA), a convolutional neural net…

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