Bibliographic references

Papers

  • Bi Q, Wu Y, Mei S, et al. Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study [published online ahead of print, 2020 Apr 27]. Lancet Infect Dis. 2020;S1473-3099(20)30287-5. doi:10.1016/S1473-3099(20)30287-5
  • Yan Y, Yang Y, Wang F, et al. Clinical characteristics and outcomes of patients with severe covid-19 with diabetes. BMJ Open Diabetes Res Care. 2020;8(1):e001343. doi:10.1136/bmjdrc-2020-001343
  • Guan WJ, Ni ZY, Hu Y, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020;382(18):1708‐1720. doi:10.1056/NEJMoa2002032
  • Phua J, Weng L, Ling L, et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations [published correction appears in Lancet Respir Med. 2020 May;8(5):e42]. Lancet Respir Med. 2020;8(5):506‐517. doi:10.1016/S2213-2600(20)30161-2
  • Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [published correction appears in Lancet. 2020 Jan 30;:]. Lancet. 2020;395(10223):497‐506. doi:10.1016/S0140-6736(20)30183-5
  • Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020;395(10223):514‐523. doi:10.1016/S0140-6736(20)30154-9
  • Yu X, Sun X, Cui P, et al. Epidemiological and Clinical Characteristics of 333 Confirmed Cases with Coronavirus Disease 2019 in Shanghai, China [published online ahead of print, 2020 Apr 29]. Transbound Emerg Dis. 2020;10.1111/tbed.13604. doi:10.1111/tbed.13604
  • Irvin, Jeremy, et al. "CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison." arXiv preprint arXiv:1901.07031 (2019).
  • Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382(8):727‐733. doi:10.1056/NEJMoa2001017
  • LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436‐444. doi:10.1038/nature14539
  • Hurt B, Kligerman S, Hsiao A. Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak. J Thorac Imaging. 2020;35(3):W87‐W89. doi:10.1097/RTI.0000000000000512
  • M.E.H. Chowdhury, T. Rahman, A. Khandakar, R. Mazhar, M.A. Kadir, Z.B. Mahbub, K.R. Islam, M.S. Khan, A. Iqbal, N. Al-Emadi, M.B.I. Reaz, “Can AI help in screening Viral and COVID-19 pneumonia?” arXiv preprint, 29 March 2020, https://arxiv.org/abs/2003.13145.
  • Li L, Qin L, Xu Z, et al. Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT [published online ahead of print, 2020 Mar 19]. Radiology. 2020;200905. doi:10.1148/radiol.2020200905
  • LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436‐444. doi:10.1038/nature14539
  • Inciardi RM, Adamo M, Lupi L, et al. Characteristics and outcomes of patients hospitalized for COVID-19 and cardiac disease in Northern Italy [published online ahead of print, 2020 May 8]. Eur Heart J. 2020;ehaa388. doi:10.1093/eurheartj/ehaa388
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