Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound.

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Title: Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound.
Authors: Chao CJ; Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, USA.; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA., Gu YR; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA., Kumar W; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA., Xiang T; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA., Appari L; Department of Radiology, Mayo Clinic Arizona, Scottsdale, AZ, USA.; School of Computing and Augmented Intelligence, Arizona State University, Phoenix, AZ, USA., Wu J; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA., Farina JM; Department of Cardiovascular Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA., Wraith R; Department of Cardiovascular Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA., Jeong J; Department of Radiology, Mayo Clinic Arizona, Scottsdale, AZ, USA.; School of Computing and Augmented Intelligence, Arizona State University, Phoenix, AZ, USA., Arsanjani R; Department of Cardiovascular Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA., Kane GC; Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, USA., Oh JK; Department of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, USA., Langlotz CP; Center of Artificial Intelligence in Medical Imaging, Stanford University, Stanford, CA, USA.; Department of Radiology, Stanford University, Stanford, CA, USA., Banerjee I; Department of Radiology, Mayo Clinic Arizona, Scottsdale, AZ, USA.; School of Computing and Augmented Intelligence, Arizona State University, Phoenix, AZ, USA., Fei-Fei L; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA. feifeili@cs.stanford.edu.; Department of Computer Science, Stanford University, Stanford, CA, USA. feifeili@cs.stanford.edu., Adeli E; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA. eadeli@stanford.edu.; Department of Computer Science, Stanford University, Stanford, CA, USA. eadeli@stanford.edu.; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. eadeli@stanford.edu.
Source: NPJ digital medicine [NPJ Digit Med] 2025 Jun 06; Vol. 8 (1), pp. 341. Date of Electronic Publication: 2025 Jun 06.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-025-01730-y