Literature DB >> 33521399

Artificial Intelligence in COPD: New Venues to Study a Complex Disease.

Raúl San José Estépar1.   

Abstract

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease that can benefit from novel approaches to understanding its evolution and divergent trajectories. Artificial intelligence (AI) has revolutionized how we can use clinical, imaging, and molecular data to understand and model complex systems. AI has shown impressive results in areas related to automated clinical decision making, radiological interpretation and prognostication. The unique nature of COPD and the accessibility to well-phenotyped populations result in an ideal scenario for AI development. This review provides an introduction to AI and deep learning and presents some recent successes in applying AI in COPD. Finally, we will discuss some of the opportunities, challenges, and limitations for AI applications in the context of COPD.

Entities:  

Keywords:  Artificial Intelligence; COPD; Deep learning; Emphysema; Imaging; Machine learning

Year:  2020        PMID: 33521399      PMCID: PMC7842269          DOI: 10.23866/BRNRev:2019-0014

Source DB:  PubMed          Journal:  Barc Respir Netw Rev        ISSN: 2385-7110


  77 in total

1.  Computed tomographic measures of pulmonary vascular morphology in smokers and their clinical implications.

Authors:  Raúl San José Estépar; Gregory L Kinney; Jennifer L Black-Shinn; Russell P Bowler; Gordon L Kindlmann; James C Ross; Ron Kikinis; Meilan K Han; Carolyn E Come; Alejandro A Diaz; Michael H Cho; Craig P Hersh; Joyce D Schroeder; John J Reilly; David A Lynch; James D Crapo; J Michael Wells; Mark T Dransfield; John E Hokanson; George R Washko
Journal:  Am J Respir Crit Care Med       Date:  2013-07-15       Impact factor: 21.405

Review 2.  Deep learning in neural networks: an overview.

Authors:  Jürgen Schmidhuber
Journal:  Neural Netw       Date:  2014-10-13

3.  Ventricular Geometry From Non-contrast Non-ECG-gated CT Scans: An Imaging Marker of Cardiopulmonary Disease in Smokers.

Authors:  Farbod N Rahaghi; Gonzalo Vegas-Sanchez-Ferrero; Jasleen K Minhas; Carolyn E Come; Isaac De La Bruere; James M Wells; Germán González; Surya P Bhatt; Brett E Fenster; Alejandro A Diaz; Puja Kohli; James C Ross; David A Lynch; Mark T Dransfield; Russel P Bowler; Maria J Ledesma-Carbayo; Raúl San José Estépar; George R Washko
Journal:  Acad Radiol       Date:  2017-02-15       Impact factor: 3.173

4.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

5.  Pulmonary emphysema subtypes on computed tomography: the MESA COPD study.

Authors:  Benjamin M Smith; John H M Austin; John D Newell; Belinda M D'Souza; Anna Rozenshtein; Eric A Hoffman; Firas Ahmed; R Graham Barr
Journal:  Am J Med       Date:  2013-10-09       Impact factor: 4.965

6.  Generative-based airway and vessel morphology quantification on chest CT images.

Authors:  Pietro Nardelli; James C Ross; Raúl San José Estépar
Journal:  Med Image Anal       Date:  2020-03-28       Impact factor: 8.545

7.  Centrilobular emphysema and panlobular emphysema: two different diseases.

Authors:  A E Anderson; A G Foraker
Journal:  Thorax       Date:  1973-09       Impact factor: 9.139

8.  Lung function in early adulthood and health in later life: a transgenerational cohort analysis.

Authors:  Alvar Agustí; Guillaume Noell; Josep Brugada; Rosa Faner
Journal:  Lancet Respir Med       Date:  2017-11-14       Impact factor: 30.700

9.  Deep Learning Enables Automatic Classification of Emphysema Pattern at CT.

Authors:  Stephen M Humphries; Aleena M Notary; Juan Pablo Centeno; Matthew J Strand; James D Crapo; Edwin K Silverman; David A Lynch
Journal:  Radiology       Date:  2019-12-03       Impact factor: 11.105

Review 10.  COPD biomarkers and phenotypes: opportunities for better outcomes with precision imaging.

Authors:  George R Washko; Grace Parraga
Journal:  Eur Respir J       Date:  2018-11-29       Impact factor: 16.671

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  1 in total

Review 1.  Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report.

Authors:  Narendra N Khanna; Mahesh Maindarkar; Anudeep Puvvula; Sudip Paul; Mrinalini Bhagawati; Puneet Ahluwalia; Zoltan Ruzsa; Aditya Sharma; Smiksha Munjral; Raghu Kolluri; Padukone R Krishnan; Inder M Singh; John R Laird; Mostafa Fatemi; Azra Alizad; Surinder K Dhanjil; Luca Saba; Antonella Balestrieri; Gavino Faa; Kosmas I Paraskevas; Durga Prasanna Misra; Vikas Agarwal; Aman Sharma; Jagjit Teji; Mustafa Al-Maini; Andrew Nicolaides; Vijay Rathore; Subbaram Naidu; Kiera Liblik; Amer M Johri; Monika Turk; David W Sobel; Gyan Pareek; Martin Miner; Klaudija Viskovic; George Tsoulfas; Athanasios D Protogerou; Sophie Mavrogeni; George D Kitas; Mostafa M Fouda; Manudeep K Kalra; Jasjit S Suri
Journal:  J Cardiovasc Dev Dis       Date:  2022-08-15
  1 in total

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