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Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling.

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Title: Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling.
Authors: Tanade C; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA., Mavi JK; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA., Ferreira G; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA., Schwaller S; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA., Randles A; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA. amanda.randles@duke.edu.
Source: Cardiovascular engineering and technology [Cardiovasc Eng Technol] 2026 Apr 29. Date of Electronic Publication: 2026 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101531846 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-4098 (Electronic) Linking ISSN: 1869408X NLM ISO Abbreviation: Cardiovasc Eng Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Tanade+C%22">Tanade C</searchLink>; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA.<br /><searchLink fieldCode="AU" term="%22Mavi+JK%22">Mavi JK</searchLink>; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA.<br /><searchLink fieldCode="AU" term="%22Ferreira+G%22">Ferreira G</searchLink>; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA.<br /><searchLink fieldCode="AU" term="%22Schwaller+S%22">Schwaller S</searchLink>; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA.<br /><searchLink fieldCode="AU" term="%22Randles+A%22">Randles A</searchLink>; Department of Biomedical Engineering, Duke University, 534 Research Dr., Durham, NC, 27705, USA. amanda.randles@duke.edu.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101531846 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1869-4098 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221869408X%22">1869408X </searchLink><i>NLM ISO Abbreviation: </i>Cardiovasc Eng Technol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s13239-026-00836-y
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      – Code: eng
        Text: English
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      – TitleFull: Optimizing Non-invasive Fractional Flow Reserve Estimation with Machine Learning-Enhanced 1D Hemodynamic Modeling.
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            NameFull: Tanade C
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            NameFull: Mavi JK
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            NameFull: Schwaller S
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            NameFull: Randles A
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            – D: 29
              M: 04
              Text: 2026 Apr 29
              Type: published
              Y: 2026
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              Value: 1869-4098
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            – TitleFull: Cardiovascular engineering and technology
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