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A more recent focus for CIRC is to apply machine learning, a form of artificial intelligence, to predict health outcomes and guide care based on routine medical imaging. Recent work has predicted biological age, mortality, and incident lung cancer from chest x-ray images. Work in collaboration with the Brigham AI in Medicine program (https://aim.hms.harvard.edu/), we automated coronary artery calcium quantification on cardiac and chest CT.

  1. Raghu VK*, Weiss J*, Hoffmann U, Aerts HJWL, Lu MT. Deep learning to estimate biological age from chest radiographs. JACC: Cardiovasc Imaging, 2021. DOI: 10.1016/j.jcmg.2021.01.008
  2. Zeleznik R, Foldyna B, Eslami P, Weiss J, Alexander I, Taron J, Parmar C, Alvi RM, Banerji D, Uno M, Kikuchi Y, Karady J, Zhang L, Scholtz J-E, Mayrhofer T, Lyass A, Mahoney TF, Massaro JM, Vasan RS, Douglas PS, Hoffmann U*, Lu MT*, Aerts HJWL*. Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nat Commun; 2021;12:715.
  3. Lu MT*, Raghu VK*, Mayrhofer T, Aerts HJWL, Hoffmann U. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Ann Intern Med American College of Physicians; 2020;173:704–713.
  4. Eslami P, Parmar C, Foldyna B, Scholtz J-E, Ivanov A, Zeleznik R, Lu MT, Ferencik M, Vasan RS, Baltrusaitis K, Massaro JM, D’Agostino RB, Mayrhofer T, O’Donnell CJ, Aerts HJWL, Hoffmann U. Radiomics of Coronary Artery Calcium in the Framingham Heart Study. Radiol Cardiothorac Imaging Radiological Society of North America; 2020;2:e190119.
  5. Kolossváry M, Karády J, Kikuchi Y, Ivanov A, Schlett CL, Lu MT, Foldyna B, Merkely B, Aerts HJ, Hoffmann U, Maurovich-Horvat P. Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An Ex Vivo Study. Radiology 2019;190407.
  6. Lu MT, Ivanov A, Mayrhofer T, Hosny A, Aerts HJWL, Hoffmann U. Deep Learning to Assess Long-term Mortality From Chest Radiographs. JAMA Netw Open 2019;2:e197416–e197416.
  7. Shah RV, Yeri AS, Murthy VL, Massaro JM, D’Agostino R, Freedman JE, Long MT, Fox CS, Das S, Benjamin EJ, Vasan RS, O’Donnell CJ, Hoffmann U. Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study. JAMA Cardiol 2017;2:1236–1246.

Research Projects