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Google (United States)Computer Science

Shekoofeh Azizi

Industry

AI in cancer detectionMachine Learning in HealthcareTopic Modeling
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Teaching
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Citations
9.6k
h 30 · i10 43
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Influence
21/100
Top 86%
Momentum
62/100
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About

Shekoofeh Azizi is a Computer Science scholar at Google (United States). Research spans AI in cancer detection, Machine Learning in Healthcare, Topic Modeling. 74 works, 9.6k citations (h-index 30).

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Affiliation on publications · Harvard University

Most-cited work

2023

Large language models encode clinical knowledge

Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, JASON KAI WEI LEE, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather J. Cole-Lewis, Stephen Pfohl, Perry W. Payne, Martin G. Seneviratne, Paul R Gamble, Christopher J. Kelly, Abubakr Babiker, Nathanael Schärli, Aakanksha Chowdhery, Philip Mansfield, Dina Demner‐Fushman, Blaise Agüera y Arcas, Dale R. Webster, Greg S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomašev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan

Nature OATop-listed

3.9k
cites
2025

Toward expert-level medical question answering with large language models

Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen Pfohl, Heather J. Cole-Lewis, Darlene Neal, Qazi Mamunur Rashid, Mike Schaekermann, Amy Wang, Dev Dash, Jonathan H. Chen, Nigam Haresh Shah, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomašev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan

Nature Medicine OATop-listed

970
cites
Wiki completeness5 / 12
42%

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