Boag, William

Publicly Available Clinical

Alsentzer, E., Murphy, J., Boag, W., Weng, W.-H., Jindi, D., Naumann, T., & McDermott, M. (2019) · Proceedings of the 2nd Clinical Natural Language Processing Workshop

Machine Learning in HealthcareTopic Modeling

Cited by 1,736

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare

Kim, J. Y., Boag, W., Gulamali, F., Hasan, A., Hogg, H. D. J., Lifson, M., Mulligan, D., Patel, M., Raji, I. D., Sehgal, A., et al. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 55

Tech Worker Organizing for Power and Accountability

Boag, W., Suresh, H., Lepe, B., & D'Ignazio, C. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AILegal and Labor Studies

Cited by 34

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare

Boag, W., Hasan, A., Kim, J. Y., Revoir, M., Nichols, M., Ratliff, W., Gao, M., Zilberstein, S., Samad, Z., Hoodbhoy, Z., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 19

A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation

Boag, W., Kané, H., Rawat, S., Wei, J., & Goehler, A. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 5