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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
Learn more about our Philosophy

Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
Learn more about our Projects

Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
Learn more about our Faculty programs

Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
Learn more about our Conferences & events

Conferences & events

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Careers
Blog

Wenxing Ye

Wenxing Ye

Health+AI

Research Areas

Authored Publications

Google

Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan

Atilla Kiraly

Corbin Cunningham

Ryan Najafi

Zaid Nabulsi

Jie Yang

Chuck Lau

Joe Ledsam

Wenxing Ye

Diego Ardila

Scott Mayer McKinney

Rory Pilgrim

Yun Liu

Mozziyar Etemadi

Sunny Jansen

Greg Corrado

Lily Peng

Daniel Tse

Shravya Shetty

Shruthi Prabhakara

Neeral Beladia

Krish Eswaran

Radiology: Artificial Intelligence (2024)

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Zaid Nabulsi

Andrew B. Sellergren

Shahar Jamshy

Charles Lau

Eddie Santos

Atilla Peter Kiraly

Wenxing Ye

Jie Yang

Rory Pilgrim

Sahar Kazemzadeh

Jin Yu

Greg Corrado

Lily Hao Yi Peng

Krish Eswaran

Daniel Tse

Neeral Beladia

Yun Liu

Cameron Chen

Shravya Ramesh Shetty

Scientific Reports (2021)

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Diego Ardila

Atilla Peter Kiraly

Sujeeth Bharadwaj

Bokyung Choi

Joshua Reicher

Lily Peng

Daniel Tse

Mozziyar Etemadi

Wenxing Ye

Greg Corrado

David Naidich

Shravya Ramesh Shetty

Nature Medicine (2019)

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