Ghassemi, Marzyeh

ChatGPT one year on: who is using it, how and why?

Ghassemi, M., Birhane, A., Bilal, M., Kankaria, S., Malone, C., Mollick, E., & Tustumi, F. (2023) · Nature

Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 41

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Zhang, H., Lu, A. X., Abdalla, M., McDermott, M., & Ghassemi, M. (2020) · arXiv

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 37

In medicine, how do we machine learn anything real?

Ghassemi, M., & Nsoesie, E. O. (2022) · Patterns

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 37

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Aging with grace: Lifelong model editing with discrete key-value adaptors

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

Adam, H., Yang, M. Y., Cato, K., Baldini, I., Senteio, C., Celi, L. A., Zeng, J., Singh, M., & Ghassemi, M. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 33

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation

Ghassemi, M., Pushkarna, M., Wexler, J., Johnson, J., & Varghese, P. (2018) · arXiv

Electronic Health Records SystemsData Visualization and Analytics

Cited by 26

Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

Thieme, A., Nori, A., Ghassemi, M., Bommasani, R., Andersen, T. O., & Luger, E. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 25

A comprehensive EHR timeseries pre-training benchmark

McDermott, M., Nestor, B., Kim, E., Zhang, W., Goldenberg, A., Szolovits, P., & Ghassemi, M. (2021) · Proceedings of the Conference on Health, Inference, and Learning

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 24

CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output

McDermott, M. B. A., Hsu, T. M. H., Weng, W.-H., Ghassemi, M., & Szolovits, P. (2020) · arXiv

COVID-19 diagnosis using AIMultimodal Machine Learning Applications

Cited by 22

Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients

Zhang, M., Ehrmann, D., Mazwi, M., Eytan, D., Ghassemi, M., & Chevalier, F. (2022) · CHI Conference on Human Factors in Computing Systems

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 16

Generative AI in the Era of 'Alternative Facts'

Gabriel, S., Lyu, L., Siderius, J., Ghassemi, M., Andreas, J., & Ozdaglar, A. (2024) · An MIT Exploration of Generative AI

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 11

Who should do as AI say? Only non-task expert physicians benefit from correct explainable AI advice

Gaube, S., Suresh, H., Raue, M., Lermer, E., Koch, T., Hudecek, M., Ackery, A. D., Grover, S. C., Coughlin, J. F., Frey, D., et al. (2022) · Research Square

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 3

Tiered Agentic Oversight: A Hierarchical Multi-Agent System for Healthcare Safety

Kim, Y., Jeong, H., Park, C., Park, E., Zhang, H., Liu, X., Lee, H., McDuff, D., Ghassemi, M., Breazeal, C., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationSafety Systems Engineering in Autonomy

Cited by 1

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models

Shaib, C., Suriyakumar, V. M., Sagun, L., Wallace, B. C., & Ghassemi, M. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0