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Published in Foot & Ankle Orthopaedics, 2023
Recommended citation: Nassour N, Acitores JM, Jang C, et al. Automated AI Detection Tool for Ankle Fractures Using X-Rays and Smart Devices. Foot & Ankle Orthopaedics. 2023;8(4). doi:10.1177/2473011423S00026
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Published in MedRxiv, 2024
In this study, we develop and assess text normalization pipelines built using large-language models
Recommended citation: Biomedical Text Normalization through Generative Modeling Jacob S. Berkowitz, Yasaman Fatapour, Apoorva Srinivasan, Jose Miguel Acitores Cortina, Nicholas P Tatonetti medRxiv 2024.09.30.24314663; doi: https://doi.org/10.1101/2024.09.30.24314663
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Published in MedRxiv, 2024
In this study, we examined the race/ethnicity biases introduced by applying common filters to four clinical records databases
Recommended citation: Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for ‘Complete Data’ Jose M. Acitores Cortina, Yasaman Fatapour, Michael Zietz, Kathleen LaRow Brown, Undina Gisladottir, Danner Peter, Oliver John Bear Don’t Walk IV, Aditi Kuchi, Apoorva Srinivasan, Hongyu Liu, Jacob Berkowitz, Kevin Tsang, Nadine Friedrich, Sophia Kievelson, Nicholas P. Tatonetti medRxiv 2024.10.04.24314914; doi: https://doi.org/10.1101/2024.10.04.24314914
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Published in Nature communications, 2024
We present a generalizable method for the automated classification of TNM stage from pathology report text
Recommended citation: Kefeli, J., Berkowitz, J., Acitores Cortina, J.M. et al. Generalizable and automated classification of TNM stage from pathology reports with external validation. Nat Commun 15, 8916 (2024). https://doi.org/10.1038/s41467-024-53190-9
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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