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Megan Coffee, MD, PhD

Clinical Assistant Professor, Department of Medicine

Keywords
mathematical models, epidemics, emerging diseases

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Positions

Clinical Assistant Professor, Department of Medicine at NYU Grossman School of Medicine

Graduate Education

MD from Harvard University

PhD from University of Oxford

Residency And Fellowship Training

Fellowship, UCSF, Infectious Diseases

Residency, Massachusetts General Hospital, Internal Medicine

Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity

Jiang, Xiangao; Coffee, Megan; Bari, Anasse; Wang, Junzhang; Jiang, Xinyue; Huang, Jianping; Shi, Jichan; Dai, Jianyi; Cai, Jing; Zhang, Tianxiao; Wu, Zhengxing; He, Guiqing; Huang, Yitong

Computers, materials & continua : CMC. 2020; 63(1):

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis

Cao, Xu; Ye, Wengqian; Sizikova, Elena; Bai, Xue; Coffee, Megan; Zeng, Hongwu; Cao, Jianguo

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023; 1-5

Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms

Bari, Anasse; Heymann, Matthias; Cohen, Ryan J; Zhao, Robin; Szabo, Levente; Apas Vasandani, Shailesh; Khubchandani, Aashish; DiLorenzo, Madeline; Coffee, Megan

Clinical infectious diseases. 2022 May 15; 74(Supplement_3):e4-e9

To explain or not to explain? Artificial intelligence explainability in clinical decision support systems

Amann, Julia; Vetter, Dennis; Blomberg, Stig Nikolaj; Christensen, Helle Collatz; Coffee, Megan; Gerke, Sara; Gilbert, Thomas K; Hagendorff, Thilo; Holm, Sune; Livne, Michelle; Spezzatti, Andy; Strümke, Inga; Zicari, Roberto V; Madai, Vince Istavan

PLOS digital health. 2022 Feb 17;

Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients

Allahabadi, Himanshi; Amann, Julia; Balot, Isabelle; Beretta, Andrea; Binkley, Charles; Bozenhard, Jonas; Bruneault, Frederick; Brusseau, James; Candemir, Sema; Alessandro, Luca; Fieux, Genevieve; Chakraborty, Subrata; Cherciu, Nicoleta; Cociancig, Christina; Coffee, Megan; Ek, Irene; Espinosa-Leal, Leonardo; Farina, Davide; Fieux-Castagnet, Genevieve; Frauenfelder, Thomas; Gallucci, Alessio; Giuliani, Guya; Golda, Adam; van Halem, Irmhild; Hildt, Elisabeth; Holm, Sune; Kararigas, Georgios; Krier, Sebastien A; Kuhne, Ulrich; Lizzi, Francesca; Madai, Vince I; Markus, Aniek F; Masis, Serg; Wiinblad, Emilie; Mureddu, Francesco; Neri, Emanuele; Osika, Walter; Ozols, Matiss; Panigutti, Cecilia; Parent, Brendan; Pratesi, Francesca; Moreno-Sanchez, Pedro A; Sartor, Giovanni; Savardi, Mattia; Signoroni, Alberto; Sormunen, Hanna; Spezzatti, Andy; Srivastava, Adarsh; Stephansen, Annette F; Bee, Lau; Jahan, Jesmin; Tuominen, Jarno; Umbrello, Steven; Vaccher, Filippo; Vetter,, Dennis; Westerlund, Magnus; Wurth, Renee; Zicari, Roberto V;

IEEE transactions on technology & society. 2022;

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Zicari, Roberto V; Brusseau, James; Blomberg, Stig Nikolaj; Christensen, Helle Collatz; Coffee, Megan; Ganapini, Marianna B; Gerke, Sara; Gilbert, Thomas Krendl; Hickman, Eleanore; Hildt, Elisabeth; Holm, Sune; Kuhne, Ulrich; Madai, Vince I; Osika, Walter; Spezzatti, Andy; Schnebel, Eberhard; Tithi, Jesmin Jahan; Vetter, Dennis; Westerlund, Magnus; Wurth, Renee; Amann, Julia; Antun, Vegard; Beretta, Valentina; Bruneault, Frederick; Campano, Erik; Dudder, Boris; Gallucci, Alessio; Goffi, Emmanuel; Haase, Christoffer Bjerre; Hagendoff, Thilo; Kringen, Pedro; Moslein, Florian; Ottenheimer, Davi; Ozols, Matiss; Palazzani, Laura; Petrin, Martin; Tafur, Karin; Torresen, Jim; Volland, Holger; Karaigas, Georgios

Frontiers in human dynamics. 2021 Jul 08;

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Zicari, Roberto V; Ahmed, Sheraz; Amann, Julia; Braun, Stephan Alexander; Brodersen, John; Brusseau, James; Campano, Erik; Coffee, Megan; Dengel, Andreas; Dudder, Boris; Gallucci, Alessio; Gilbert, Thomas Krendl; Gottfrois, Philippe; Goffi, Emmanuel; Haase, Christoffer Bjerre; Hagendoff, Thilo; Hickman, Eleanore; Hildt, Elisabeth; Holm, Sune; Kringen, Pedro; Kuhne, Ulrich; Lucieri, Adriano; Madai, Vince I; Moreno-Sanchez, Pedro A; Medlicott, Oriana; Ozols, Matiss; Schnebel, Eberhard; Spezzatti, Andy; Tithi, Jesmin Jahan; Umbrelo, Steven; Vetter, Dennis; Volland, Holger; Westerlund, Magnus; Wurth, Renee

Frontiers in human dynamics. 2021;

COVID-19 early-alert signals using human behavior alternative data

Bari, Anasse; Khubchandani, Aashish; Wang, Junzhang; Heymann, Matthias; Coffee, Megan

Social network analysis & mining. 2021 Feb; 11(1):18

See All Publications (25)

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