Death vs. Data Science: Predicting End of Life. - Muhammad A. Ahmad; Carly Eckert; Greg McKelvey; Kiyana Zolfaghar; Anam Zahid; Ankur Teredesai (AAAI, 2018)

Interpretable Machine Learning in Healthcare. - Muhammad Aurangzeb Ahmad; Carly Eckert; Ankur Teredesai (BCB, 2018)

The Challenge of Imputation in Explainable Artificial Intelligence Models. - Muhammad Aurangzeb Ahmad; Carly Eckert; Ankur Teredesai (AISafety@IJCAI, 2019)

Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. - Carly Eckert; Neris Nieves-Robbins; Elena Spieker; Tom Louwers; David Hazel; James Marquardt; Keith Solveson; Anam Zahid; Muhammad Ahmad; Richard Barnhill; T. Greg McKelvey; Robert Marshall; et al. (Appl. Clin. Inform., 2019)

Emergency Department Optimization and Load Prediction in Hospitals. - Karthik K. Padthe; Vikas Kumar; Carly M. Eckert; Nicholas M. Mark; Anam Zahid; Muhammad Aurangzeb Ahmad; Ankur Teredesai (AI4SG@AAAI Fall Symposium, 2020)

Fairness, accountability, transparency in AI at scale: lessons from national programs. - Muhammad Aurangzeb Ahmad; Ankur Teredesai; Carly Eckert (FAT*, 2020)

Fairness in Machine Learning for Healthcare. - Muhammad Aurangzeb Ahmad; Arpit Patel; Carly Eckert; Vikas Kumar; Ankur Teredesai (KDD, 2020)

Fairness in Healthcare AI. - Muhammad Aurangzeb Ahmad; Carly Eckert; Christine Allen; Vikas Kumar; Juhua Hu; Ankur Teredesai (ICHI, 2021)

Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. - Muhammad Aurangzeb Ahmad; Steve Overman; Christine Allen; Vikas Kumar; Ankur Teredesai; Carly Eckert (KDD, 2021)

Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. - Aloysius Lim; Ashish Singh; Jody Chiam; Carly Eckert; Vikas Kumar; Muhammad Aurangzeb Ahmad; Ankur Teredesai (CoRR, 2021)