Ziad Obermeyer

17 papers A* 2Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cognitive bias in clinical large language models. npj Digit. Medicine Arjun Mahajan, Ziad Obermeyer, Roxana Daneshjou, Jenna C. Lester, Dylan Powell
2025	J	`jnl`	Potential for Algorithmic Bias in Clinical Decision Instrument Development. npj Digit. Medicine Jed Keenan Obra, Chandan Singh, Kenshata Watkins, Jean Feng, Ziad Obermeyer, Aaron Kornblith
2023	J	`jnl`	Clinical Notes Reveal Physician Fatigue. CoRR Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan
2023	J	`jnl`	Considerations for addressing bias in artificial intelligence for health equity. npj Digit. Medicine Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char, Ziad Obermeyer, Malvina B. Eydelman, William H. Maisel
2023	J	`jnl`	Use large language models to promote equity. CoRR Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa
2021	Misc	`conf`	Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. AMIA Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol
2020	—	`conf`	Characterizing the Value of Information in Medical Notes. EMNLP (Findings) Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
2020	J	`jnl`	Characterizing the Value of Information in Medical Notes. CoRR Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
2020	J	`jnl`	The Data Station: Combining Data, Compute, and Market Forces. CoRR Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster
2019	A*	`conf`	Direct Uncertainty Prediction for Medical Second Opinions. ICML Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg
2019	A*	`conf`	Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. ICML Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan
2019	—	`conf`	Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. FAT Ziad Obermeyer, Sendhil Mullainathan
2019	J	`jnl`	The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan
2018	J	`jnl`	A Probabilistic Model of Cardiac Physiology and Electrocardiograms. CoRR Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan
2018	J	`jnl`	Direct Uncertainty Prediction with Applications to Healthcare. CoRR Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg
2018	J	`jnl`	Measuring the Stability of EHR- and EKG-based Predictive Models. CoRR Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan
2017	J	`jnl`	Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. CoRR Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer