Publications

Towards Safe Policy Learning Under Partial Identifiability: A Causal Approach
Shalmali Joshi, Junzhe Zhang, and Elias Bareinboim.
AAAI Conference on Artificial Intelligence (AAAI) 2024

"Why did the model fail?": attributing model performance changes to distribution shifts
Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, and Shalmali Joshi
International Conference on Machine Learning (ICML) 2023

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development
Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre Elias, Benjamin Recht, Noémie Elhadad, James Fackler, Mark P Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madaline Fiterau, Zachary Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath
Journal of the American Medical Informatics Association, 2024 (to appear)

Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
Daksh Mittal, Yuanzhe Ma, Shalmali Joshi, and Hongseok Namkoong.
Neural Information Processing Systems (NeurIPS) 2024

Machine Learning is More Accurate and Biased than Risk Scoring Tools in the Prediction of Postoperative Atrial Fibrillation After Cardiac Surgery
Joyce C. Ho, Shalmali Joshi, Eduardo Valverde, Kathryn Wood, Kendra J. Grubb, Miguel A. Leal, and Vicki Stover Hertzberg
medRxiv preprint

Rise of the machines: how machine learning will shape the field of rheumatology
Shalmali Joshi, and Jason E Leibowitz
Rheumatology

Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees
Molly T. Finnerty, Atif Khan, Kai You, Rui Wang, Gyojeong Gu, Deborah Layman, Qingxian Chen, Noémie Elhadad, Shalmali Joshi, Paul S. Appelbaum, Todd Lencz, Sander Markx, Steven A. Kushner and Andrey Rzhetsky
Schizophrenia, 2024

Towards safe policy learning under partial identifiability: A causal approach
Shalmali Joshi, Junzhe Zhang, and Elias Bareinboim
AAAI Conference on Artificial Intelligence (AAAI) 2024

Does multimodality help in deep learning-based structural heart disease detection?
Young Sang Choi, Shalmali Joshi, Linyuan Jing, and Pierre Elias
Medical Imaging with Deep Learning (MIDL) 2024 (Short Paper Track)

"Why did the model fail?": Attributing model performance changes to distribution shifts
Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, and Shalmali Joshi
International Conference on Machine Learning (ICML) 2023

A normative framework for artificial intelligence as a sociotechnical system in healthcare
Melissa D. McCradden, Shalmali Joshi, James A. Anderson, and Alex John London
Patterns, 2023

What's fair is… fair?: Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social Justice in the integration of clinical machine learning: JustEFAB
Melissa McCradden, Oluwadara Odusi, Shalmali Joshi, Ismail Akrout, Kagiso Ndlovu, Ben Glocker, Gabriel Maicas et al.
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023