Related Experiment Video

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Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
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Published on: July 19, 2024

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Artificial Intelligence-based CT Assessment of Bronchiectasis: The COPDGene Study.

Alejandro A Díaz1, Pietro Nardelli1, Wei Wang1

  • 1From the Division of Pulmonary and Critical Care Medicine (A.A.D., W.R.D., A.T., J.L.O., G.R.W.), Department of Radiology (P.N., Rubén San José Estépar, Raúl San José Estépar), Division of Sleep Medicine and Circadian Disorders (W.W.), and Channing Division of Network Medicine (E.K.S.), Brigham and Women's Hospital, Harvard Medical School, 15 Francis St, Boston, MA 02115; Department of Radiology, University of California-San Diego, San Diego, Calif (A.Y., S.K.); Division of Pulmonary Diseases and Critical Care, University of Texas-San Antonio, San Antonio, Tex (D.J.M.); Department of Biomedical Sciences, Humanitas University, Milan, Italy (S.A.); Respiratory Unit, IRCCS Humanitas Research Hospital, Milan, Italy (S.A.); Department of Pulmonary Disease and Critical Care Medicine, Mayo Clinic, Rochester, Minn (T.R.A.); and Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colo (K.A.Y., G.L.K.).

Radiology
|December 13, 2022
PubMed
Summary

Artificial intelligence (AI) enhanced CT scans can quantify airway dilatation in smokers, identifying more frequent exacerbations in those with chronic obstructive pulmonary disease (COPD) and bronchiectasis over time.

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