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Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.
Chamberlin JH, Aquino G, Nance S, Wortham A, Leaphart N, Paladugu N, Brady S, Baird H, Fiegel M, Fitzpatrick L, Kocher M, Ghesu F, Mansoor A, Hoelzer P, Zimmermann M, James WE, Dennis DJ, Houston BA, Kabakus IM, Baruah D, Schoepf UJ, Burt JR. Chamberlin JH, et al. Among authors: kabakus im. BMC Infect Dis. 2022 Jul 21;22(1):637. doi: 10.1186/s12879-022-07617-7. BMC Infect Dis. 2022. PMID: 35864468 Free PMC article.
Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography.
Fischer AM, Eid M, De Cecco CN, Gulsun MA, van Assen M, Nance JW, Sahbaee P, De Santis D, Bauer MJ, Jacobs BE, Varga-Szemes A, Kabakus IM, Sharma P, Jackson LJ, Schoepf UJ. Fischer AM, et al. Among authors: kabakus im. J Thorac Imaging. 2020 May;35 Suppl 1:S49-S57. doi: 10.1097/RTI.0000000000000491. J Thorac Imaging. 2020. PMID: 32168163
Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT.
Yacoub B, Kabakus IM, Schoepf UJ, Giovagnoli VM, Fischer AM, Wichmann JL, Martinez JD, Sharma P, Rapaka S, Sahbaee P, Hoelzer P, Burt JR, Varga-Szemes A, Emrich T. Yacoub B, et al. Among authors: kabakus im. Acad Radiol. 2022 Feb;29 Suppl 2:S108-S117. doi: 10.1016/j.acra.2021.02.007. Epub 2021 Mar 10. Acad Radiol. 2022. PMID: 33714665
Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study.
Abadia AF, Yacoub B, Stringer N, Snoddy M, Kocher M, Schoepf UJ, Aquino GJ, Kabakus I, Dargis D, Hoelzer P, Sperl JI, Sahbaee P, Vingiani V, Mercer M, Burt JR. Abadia AF, et al. J Thorac Imaging. 2022 May 1;37(3):154-161. doi: 10.1097/RTI.0000000000000613. Epub 2021 Aug 12. J Thorac Imaging. 2022. PMID: 34387227 Clinical Trial.
Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes.
Aquino GJ, Chamberlin J, Mercer M, Kocher M, Kabakus I, Akkaya S, Fiegel M, Brady S, Leaphart N, Dippre A, Giovagnoli V, Yacoub B, Jacob A, Gulsun MA, Sahbaee P, Sharma P, Waltz J, Schoepf UJ, Baruah D, Emrich T, Zimmerman S, Field ME, Agha AM, Burt JR. Aquino GJ, et al. J Cardiovasc Comput Tomogr. 2022 May-Jun;16(3):245-253. doi: 10.1016/j.jcct.2021.12.005. Epub 2021 Dec 17. J Cardiovasc Comput Tomogr. 2022. PMID: 34969636
45 results