Marzyeh Ghassemi

Marzyeh Ghassemi is currently a professor at MIT, leading the Healthy ML lab which develops robust machine-learning algorithms, and works to understand how such models can best inform and improve health-care decisions. She was formerly an assistant professor at the University of Toronto's Department of Computer Science and Faculty of Medicine, holding a Canada CIFAR Artificial Intelligence (AI) chair and Canada Research Chair (Tier Two) in machine learning for health. Provided by Wikipedia
Showing 1 - 20 results of 21 for search 'Marzyeh Ghassemi', query time: 0.06s Refine Results
  1. 1
    Machine learning and health need better values

    Machine learning and health need better values by Marzyeh Ghassemi, Shakir Mohamed

    Published 2022-04-01
    Get full text
    Article
  2. 2
    Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease

    Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease by Azadeh Assadi, Azadeh Assadi, Peter C. Laussen, Peter C. Laussen, Peter C. Laussen, Gabrielle Freire, Marzyeh Ghassemi, Marzyeh Ghassemi, Marzyeh Ghassemi, Marzyeh Ghassemi, Patricia Trbovich, Patricia Trbovich, Patricia Trbovich

    Published 2022-11-01
    Get full text
    Article
  3. 3
    Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study

    Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study by Azadeh Assadi, Azadeh Assadi, Peter C. Laussen, Peter C. Laussen, Peter C. Laussen, Gabrielle Freire, Marzyeh Ghassemi, Marzyeh Ghassemi, Marzyeh Ghassemi, Marzyeh Ghassemi, Patricia C. Trbovich, Patricia C. Trbovich, Patricia C. Trbovich

    Published 2022-12-01
    Get full text
    Article
  4. 4
    Mitigating the impact of biased artificial intelligence in emergency decision-making

    Mitigating the impact of biased artificial intelligence in emergency decision-making by Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, Marzyeh Ghassemi

    Published 2022-11-01
    Get full text
    Article
  5. 5
    Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care

    Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care by Marta M. Maslej, Stefan Kloiber, Marzyeh Ghassemi, Joanna Yu, Sean L. Hill

    Published 2023-06-01
    Get full text
    Article
  6. 6
    Equity in essence: a call for operationalising fairness in machine learning for healthcare

    Equity in essence: a call for operationalising fairness in machine learning for healthcare by Leo Anthony Celi, Liam G McCoy, Marzyeh Ghassemi, Judy Wawira Gichoya

    Published 2021-03-01
    Get full text
    Article
  7. 7
    甲襞毛细血管镜检测与深度学习在糖尿病中的应用

    甲襞毛细血管镜检测与深度学习在糖尿病中的应用 by Reema Shah, Jeremy Petch, Walter Nelson, Karsten Roth, Michael D. Noseworthy, Marzyeh Ghassemi, Hertzel C. Gerstein

    Published 2023-02-01
    Get full text
    Article
  8. 8
    Building a research partnership between computer scientists and health service researchers for access and analysis of population-level health datasets: what are we learning?

    Building a research partnership between computer scientists and health service researchers for access and analysis of population-level health datasets: what are we learning? by Michael Schull, Michael Brudno, Marzyeh Ghassemi, Garth Gibson, Anna Goldenbrg, Alison Paprica, Laura Rosella, Therese Stukel, Charles Victor, Carl Virtanen

    Published 2019-11-01
    Get full text
    Article
  9. 9
    Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data

    Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data by Sujay Nagaraj, Sarah Goodday, Thomas Hartvigsen, Adrien Boch, Kopal Garg, Sindhu Gowda, Luca Foschini, Marzyeh Ghassemi, Stephen Friend, Anna Goldenberg

    Published 2023-12-01
    Get full text
    Article
  10. 10
    Machine learning COVID-19 detection from wearables

    Machine learning COVID-19 detection from wearables by Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg

    Published 2023-04-01
    Get full text
    Article
  11. 11
    Building A Research Partnership Between Computer Scientists and Health Service Researchers for Access and Analysis of Population-Level Health Datasets

    Building A Research Partnership Between Computer Scientists and Health Service Researchers for Access and Analysis of Population-Level Health Datasets by Michael Schull, Michael Brudno, Marzyeh Ghassemi, Garth Gibson, Anna Goldenberg, P. Alison Paprica, Laura Rosella, Thérèse Stukel, J. Charles Victor, Carl Virtanen

    Published 2020-12-01
    Get full text
    Article
  12. 12
    Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study

    Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study by Laura C Rosella, Kathy Kornas, Tristan Watson, Jahir Gutierrez, Marzyeh Ghassemi, Seung Eun Yi, Vinyas Harish, Mathieu Ravaut, Tomi Poutanen, Maksims Volkovs

    Published 2022-04-01
    Get full text
    Article
  13. 13
    Do as AI say: susceptibility in deployment of clinical decision-aids

    Do as AI say: susceptibility in deployment of clinical decision-aids by Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi

    Published 2021-02-01
    Get full text
    Article
  14. 14
    Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

    Optimizing warfarin dosing for patients with atrial fibrillation using machine learning by Jeremy Petch, Walter Nelson, Mary Wu, Marzyeh Ghassemi, Alexander Benz, Mehdi Fatemi, Shuang Di, Anthony Carnicelli, Christopher Granger, Robert Giugliano, Hwanhee Hong, Manesh Patel, Lars Wallentin, John Eikelboom, Stuart J. Connolly

    Published 2024-02-01
    Get full text
    Article
  15. 15
    Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

    Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays by Susanne Gaube, Harini Suresh, Martina Raue, Eva Lermer, Timo K. Koch, Matthias F. C. Hudecek, Alun D. Ackery, Samir C. Grover, Joseph F. Coughlin, Dieter Frey, Felipe C. Kitamura, Marzyeh Ghassemi, Errol Colak

    Published 2023-01-01
    Get full text
    Article
  16. 16
    Peer review of GPT-4 technical report and systems card

    Peer review of GPT-4 technical report and systems card by Jack Gallifant, Amelia Fiske, Yulia A. Levites Strekalova, Juan S. Osorio-Valencia, Rachael Parke, Rogers Mwavu, Nicole Martinez, Judy Wawira Gichoya, Marzyeh Ghassemi, Dina Demner-Fushman, Liam G. McCoy, Leo Anthony Celi, Robin Pierce

    Published 2024-01-01
    Get full text
    Article
  17. 17
    Peer review of GPT-4 technical report and systems card.

    Peer review of GPT-4 technical report and systems card. by Jack Gallifant, Amelia Fiske, Yulia A Levites Strekalova, Juan S Osorio-Valencia, Rachael Parke, Rogers Mwavu, Nicole Martinez, Judy Wawira Gichoya, Marzyeh Ghassemi, Dina Demner-Fushman, Liam G McCoy, Leo Anthony Celi, Robin Pierce

    Published 2024-01-01
    Get full text
    Article
  18. 18
    Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration

    Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration by Amol A. Verma, MD, Chloe Pou-Prom, MSc, Liam G. McCoy, MD, Joshua Murray, MSc, Bret Nestor, MEng, Shirley Bell, RN, Ophyr Mourad, MD, Michael Fralick, MD, Jan Friedrich, MD, Marzyeh Ghassemi, PhD, Muhammad Mamdani, PharmD

    Published 2023-05-01
    Get full text
    Article
  19. 19
    Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

    Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study by Sarah M Goodday, Emma Karlin, Alexandria Alfarano, Alexa Brooks, Carol Chapman, Rachelle Desille, Shazia Rangwala, Daniel R Karlin, Hoora Emami, Nancy Fugate Woods, Adrien Boch, Luca Foschini, Mackenzie Wildman, Francesca Cormack, Nick Taptiklis, Abhishek Pratap, Marzyeh Ghassemi, Anna Goldenberg, Sujay Nagaraj, Elaine Walsh, Stephen Friend

    Published 2022-04-01
    Get full text
    Article
  20. 20
    An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

    An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study by Sarah M Goodday, Emma Karlin, Alexandria Alfarano, Alexa Brooks, Carol Chapman, Rachelle Desille, Shazia Rangwala, Daniel R Karlin, Hoora Emami, Nancy Fugate Woods, Adrien Boch, Luca Foschini, Mackenzie Wildman, Francesca Cormack, Nick Taptiklis, Abhishek Pratap, Marzyeh Ghassemi, Anna Goldenberg, Sujay Nagaraj, Elaine Walsh, Stephen Friend

    Published 2021-12-01
    Get full text
    Article

Search Tools: