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Ziad Obermeyer

University of California, Berkeley · US
Area of research
Artificial Intelligence · Emergency Medicine
Research interest
Research interests include Machine Learning in Healthcare, Emergency and Acute Care Studies, Healthcare cost, quality, practices, and Artificial Intelligence in Healthcare and Education.
h-index
41
citations
17,018
works
108
NIH funding
primary concept
Medicine
email

Recent publications

A Deep Learning Approach to Quantitative PCR that Learns from Ground Truth
2026cited by 0position: contributordoi
Using Large Language Models to Promote Health Equity
NEJM AI 2025cited by 16position: middledoi
Using Large Language Models to Promote Health Equity
NEJM AI 2025cited by 15position: contributordoi
A machine learning model using clinical notes to identify physician fatigue
Nature Communications 2025cited by 3position: middledoi
A machine learning model using clinical notes to identify physician fatigue.
2025cited by 2position: contributordoi
Bedside to Bench - AI and the New Science of Medicine.
2025cited by 0position: contributordoi
Systematic Bias in Clinical Decision Instrument Development: A Quantitative Meta-Analysis
2025cited by 0position: contributordoi
Race adjustments in clinical algorithms can help correct for racial disparities in data quality
Proceedings of the National Academy of Sciences 2024cited by 18position: middledoi
Considerations for addressing bias in artificial intelligence for health equity
npj Digital Medicine 2023cited by 286position: middledoi
Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review
Health Affairs 2023cited by 76position: middledoi
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It
Health Affairs 2022cited by 58position: middledoi
Solving medicine’s data bottleneck: Nightingale Open Science
Nature Medicine 2022cited by 39position: lastdoi
An algorithmic approach to reducing unexplained pain disparities in underserved populations
Nature Medicine 2021cited by 264position: lastdoi
Variation in common laboratory test results caused by ambient temperature
Med 2021cited by 9position: contributordoi
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Nature Medicine 2020cited by 557position: middledoi
The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies
JAMA 2020cited by 101position: middledoi
Dissecting racial bias in an algorithm used to manage the health of populations
Science 2019cited by 5,886position: firstdoi
Dissecting racial bias in an algorithm used to manage the health of populations.
2019cited by 2,214position: contributordoi
Predictive modeling of U.S. health care spending in late life
Science 2018cited by 165position: lastdoi
Lost in Thought — The Limits of the Human Mind and the Future of Medicine
New England Journal of Medicine 2017cited by 253position: firstdoi
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
New England Journal of Medicine 2016cited by 3,425position: firstdoi
The Emergency Care of Patients With Cancer: Setting the Research Agenda
Annals of Emergency Medicine 2016cited by 64position: middledoi
Emergency Care Use and the Medicare Hospice Benefit for Individuals with Cancer with a Poor Prognosis
Journal of the American Geriatrics Society 2016cited by 38position: firstdoi
Prediction Policy Problems
American Economic Review 2015cited by 570position: lastdoi
Contributions of risk factors and medical care to cardiovascular mortality trends
Nature Reviews Cardiology 2015cited by 331position: middledoi
Frequency of ED revisits and death among older adults after a fall
The American Journal of Emergency Medicine 2015cited by 141position: middledoi
Cause-Specific Risk of Hospital Admission Related to Extreme Heat in Older Adults
JAMA 2014cited by 360position: middledoi
Association Between the Medicare Hospice Benefit and Health Care Utilization and Costs for Patients With Poor-Prognosis Cancer
JAMA 2014cited by 279position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

· 7 papers (2019–2026)Emma Pierson · University of California, Berkeley3 papers (2021–2025)Sendhil Mullainathan · Massachusetts Institute of Technology2 papers (2018–2025)Atul J. Butte · UCSF Helen Diller Family Comprehensive Cancer Center2 papers (2020–2020)Jon Kleinberg · Cornell University2 papers (2015–2025)Maggie Makar · Massachusetts Institute of Technology2 papers (2014–2016)Sendhil Mullainathan · National Bureau of Economic Research2 papers (2019–2025)Anna Zink · Harvard University2 papers (2023–2024)Thomas H. Lee · The Ohio State University1 papers (2017–2017)Ioanna Tzoulaki · Columbia University1 papers (2015–2015)Kais Gadhoumi · Duke University1 papers (2023–2023)Brett K. Beaulieu‐Jones · St. Luke's University Health Network1 papers (2020–2020)Jeremiah D. Schuur · Brown University1 papers (2016–2016) · 1 papers (2023–2023)Mark Dredze · Johns Hopkins University1 papers (2025–2025)Chao-Chun Hsu · University of Illinois Chicago1 papers (2025–2025) · 1 papers (2023–2023)Bongani M. Mayosi · University of Cape Town1 papers (2015–2015) · 1 papers (2023–2023) · 1 papers (2023–2023)