Farah Shamout
Farah Shamout
NYU Clinical AI Lab
Zweryfikowany adres z nyu.edu
Cytowane przez
Cytowane przez
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
NPJ digital medicine 4 (1), 1-11, 2021
Machine Learning for Clinical Outcome Prediction
FE Shamout, T Zhu, DA Clifton
IEEE Reviews in Biomedical Engineering, 2020
Deep Interpretable Early Warning System for the Detection of Clinical Deterioration
FE Shamout, T Zhu, P Sharma, PJ Watkinson, DA Clifton
IEEE Journal of Biomedical and Health Informatics 24 (2), 437-446, 2020
Enhancement of non-invasive trans-membrane drug delivery using ultrasound and microbubbles during physiologically relevant flow
FE Shamout, AN Pouliopoulos, P Lee, S Bonaccorsi, L Towhidi, R Krams, ...
Ultrasound in medicine & biology 41 (9), 2435-2448, 2015
Covid-19 prognosis via self-supervised representation learning and multi-image prediction
A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ...
arXiv preprint arXiv:2101.04909, 2021
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ...
Nature communications 12 (1), 1-13, 2021
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
Y Yang, TM Walker, AS Walker, DJ Wilson, TEA Peto, DW Crook, ...
Bioinformatics 35 (18), 3240-3249, 2019
Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign …
F Shamout, T Zhu, L Clifton, J Briggs, D Prytherch, P Meredith, ...
BMJ open 9 (11), e033301, 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
P Sharma, FE Shamout, DA Clifton
NeurIPS 2019 Workshop AI for Social Good arXiv preprint arXiv:1912.00354, 2019
Machine learning for health (ML4H) workshop at NeurIPS 2018
N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
arXiv preprint arXiv:1811.07216, 2018
Development and validation of early warning score systems for COVID-19 patients
A Youssef, S Kouchaki, F Shamout, J Armstrong, R El-Bouri, T Taylor, ...
Healthcare Technology Letters, 1-12, 2021
Meta-repository of screening mammography classifiers
B Stadnick, J Witowski, V Rajiv, J Chłędowski, FE Shamout, K Cho, ...
arXiv preprint arXiv:2108.04800, 2021
Explainability Matters: Backdoor Attacks on Medical Imaging
M Nwadike, T Miyawaki, E Sarkar, M Maniatakos, F Shamout
AAAI 2021 Workshop on Trustworthy AI for Healthcare, 2020
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data
P Sharma, FE Shamout, V Abrol, DA Clifton
IEEE Journal of Biomedical and Health Informatics 26 (4), 1528-1537, 2021
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
D Johnson, M Alsharid, R El-Bouri, N Mehdi, F Shamout, A Szenicer, ...
AAAI Symposium on Educational Advances in Artificial Intelligence, 2022
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
N Hayat, H Lashen, FE Shamout
Machine Learning for Healthcare Conference, 461-477, 2021
The strategic pursuit of artificial intelligence in the United Arab Emirates
FE Shamout, DA Ali
Communications of the ACM 64 (4), 57-58, 2021
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
N Hayat, KJ Geras, FE Shamout
Machine Learning for Healthcare Conference, 2022
Method and data processing apparatus for generating real-time alerts about a patient
ZHU Tingting, F Shamout, D Clifton, P Watkinson
US Patent App. 17/299,155, 2022
Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic
GO Ghosheh, B Alamad, KW Yang, F Syed, N Hayat, I Iqbal, F Al Kindi, ...
Intelligence-based medicine 6, 100065, 2022
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