Publications

Selected Publications

• B. C. Cummings, J. M. Blackmer, J. R. Motyka, N. Farzaneh, L. Cao, E. L. Bisco, J. D. Glassbrook, M. D. Roebuck, C. E. Gillies, A. J. Admon, R. P. Medlin, K. Singh, M. W. Sjoding, K. R. Ward, and S. Ansari, “External validation and comparison of a general ward deterioration index between diversely different health systems,” Critical Care Medicine, vol. 51, no. 6, p. 775, 2023.

• N. Farzaneh, S. Ansari*, E. Lee, K. R. Ward, and M. W. Sjoding*, “Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome,” NPJ Digital Medicine, vol. 6, no. 1, p. 62, 2023, * Co-supervised the work.

• R. Sharma, W. Zang, A. Tabartehfarahani, A. Lam, X. Huang, A. D. Sivakumar, C. Thota, S. Yang, R. P. Dickson, M. W. Sjoding, E. Bisco, C. C. Mahmood, K. M. Diaz, N. Sautter, S. Ansari, K. R. Ward, and X. Fan, “Portable breath-based volatile organic compound monitoring for the detection of COVID-19 during the circulation of the SARS-CoV-2 Delta variant and the transition to the SARS-CoV-2 Omicron variant,” JAMA Network Open, vol. 6, no. 2, pp. e230 982–e230 982, 2023.

• M. W. Sjoding, S. Ansari, and T. S. Valley, “Origins of racial and ethnic bias in pulmonary technologies,” Annual Review of Medicine, vol. 74, pp. 401–412, 2023.

• M. W. Sjoding, D. Taylor, J. Motyka, E. Lee, D. Claar, J. I. McSparron, S. Ansari, M. P. Kerlin, J. P. Reilly, M. G. Shashaty et al., “Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation,” The Lancet Digital Health, vol. 3, no. 6, pp. e340–e348, 2021.

• B. C. Cummings*, S. Ansari*, J. R. Motyka, G. Wang, R. P. Medlin Jr, S. L. Kronick, K. Singh, P. K. Park, L. M. Napolitano, R. P. Dickson, M. R. Mathis, M. W. Sjoding, A. J. Admon, R. Blank, J. I. McSparron, K. R. Ward, and C. E. Gillies, “Predicting intensive care transfers and other unforeseen events: analytic model validation study and comparison to existing methods,” JMIR medical informatics, vol. 9, no. 4, p. e25066, 2021, * Co-first authors.

• S. Ansari, J. R. Golbus, M. H. Tiba, B. McCracken, L. Wang, K. D. Aaronson, K. R. Ward, K. Najarian, and K. R. Oldham, “Detection of low cardiac index using a polyvinylidene fluoride-based wearable ring and convolutional neural networks,” IEEE Sensors Journal, pp. 1–1, 2020.

• S. Ansari, S. Yoon, and L. A. Albert, “An approximate hypercube model for public service systems with co-located servers and multiple response,” Transportation Research Part E: Logistics and Transportation Review, vol. 103, pp. 143–157, 2017.

• S. Ansari, N. Farzaneh, M. Duda, K. Horan, H. B. Andersson, Z. D. Goldberger, B. K. Nallamothu, and K. Najarian, “A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records,” IEEE Reviews in Biomedical Engineering, vol. 10, pp. 264–298, 2017.

• S. Ansari, A. Belle, H. Ghanbari, M. Salamango, and K. Najarian, “Suppression of false arrhythmia alarms in the ICU: A machine learning approach,” Physiological Measurement, vol. 37, no. 8, pp. 1186–1203, 2016.

• S. Ansari, K. Ward, and K. Najarian, “Motion artifact suppression in impedance pneumography signal for portable monitoring of respiration: An adaptive approach,” IEEE Journal of Biomedical and Health Informatics, pp. 387–398, 2016, Cover of the IEEE Journal of Biomedical and Health Informatics, volume 21, no 2.

• S. Ansari, K. Ward, and K. Najarian, “Epsilon-tube filtering: Reduction of high-amplitude motion artifacts from impedance plethysmography signal.” IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 2, pp. 406–417, 2015.

• S. Ansari, L. A. McLay, and M. E. Mayorga, “A maximum expected covering problem for district design,” Transportation Science, vol. 51, no. 1, pp. 376–390, 2015.