David Ouyang to Algorithms
This is a "connection" page, showing publications David Ouyang has written about Algorithms.
Connection Strength
1.140
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Extracting More From Less: A New Frontier for High-Throughput Clinical Phenotyping. Circ Cardiovasc Qual Outcomes. 2022 06; 15(6):e009055.
Score: 0.399
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Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms. JACC Clin Electrophysiol. 2024 12; 10(12):2644-2654.
Score: 0.118
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Machine Learning and Bias in Medical Imaging: Opportunities and Challenges. Circ Cardiovasc Imaging. 2024 02; 17(2):e015495.
Score: 0.113
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Leveraging 3D Echocardiograms to Evaluate AI Model Performance in Predicting Cardiac Function on Out-of-Distribution Data. Pac Symp Biocomput. 2024; 29:39-52.
Score: 0.112
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Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study. Lancet Digit Health. 2024 01; 6(1):e70-e78.
Score: 0.111
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Revival and Revision of Right Ventricular Assessment by Machine Learning. JACC Cardiovasc Imaging. 2022 05; 15(5):780-782.
Score: 0.100
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Deep learning models to detect hidden clinical correlates. Lancet Digit Health. 2020 07; 2(7):e334-e335.
Score: 0.088
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PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans. Nat Commun. 2024 11 07; 15(1):9660.
Score: 0.030
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Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
Score: 0.024
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How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021 04; 27(4):582-584.
Score: 0.023
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How to evaluate deep learning for cancer diagnostics - factors and recommendations. Biochim Biophys Acta Rev Cancer. 2021 04; 1875(2):188515.
Score: 0.023