Publications

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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1 - 15 of 10310 publications
    Triaging mammography with artificial intelligence: an implementation study
    Sarah M. Friedewald
    Marcin Sieniek
    Sunny Jansen
    Fereshteh Mahvar
    Timo Kohlberger
    David V. Schacht
    Sonya Bhole
    Dipti Gupta
    Shruthi Prabhakara
    Scott Mayer McKinney
    Stacey Caron
    David Melnick
    Mozziyar Etemadi
    Samantha Winter
    T Saensuksopa
    Alejandra Maciel
    Luca Speroni
    Martha Sevenich
    Arnav Agharwal
    Rubin Zhang
    Gavin Duggan
    Shiro Kadowaki
    Atilla Kiraly
    Jie Yang
    Basil Mustafa
    Yossi Matias
    Greg Corrado
    Daniel Tse
    Krish Eswaran
    Shravya Shetty
    Breast Cancer Research and Treatment (2025)
    AI Agents for Cloud Reliability: Autonomous Threat Detection and Mitigation Aligned with Site Reliability Engineering Principles
    Karan Anand
    Mourya Chigurupati
    2025
    Preview
    Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings
    Jimin Li
    Eric Xiao
    Wei Qiao
    Katie Warren
    Enming Luo
    Krishna Viswanathan
    Ariel Fuxman
    Yuan Wang
    Bill Li
    Yintao Liu
    (2025)
    The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?
    Ayo Adedeji
    Sarita Joshi
    2025
    Permission Rationales in the Web Ecosystem: An Exploration of Rationale Text and Design Patterns
    Yusra Elbitar
    Soheil Khodayari
    Marian Harbach
    Gianluca De Stefano
    Balazs Engedy
    Giancarlo Pellegrino
    Sven Bugiel
    2025
    SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society
    Sameer Sethi
    Donald Martin
    Emmanuel Klu
    Preprint (2025)
    I know what I don't know: improving model cascades through confidence tuning
    Stephan Rabanser
    Nathalie Rauschmayr
    Ace Kulshrestha
    Petra Poklukar
    Wittawat Jitkrittum
    Sean Augenstein
    Congchao Wang
    Federico Tombari
    2025
    Beyond the Phone: Exploring Context-aware Interaction Between Mobile andMixed Reality Devices
    Fengyuan Zhu
    Mar Gonzalez Franco
    Xun Qian
    Eric Gonzalez
    David Kim
    Daniel Kalmar
    Mahdi Tayarani
    Ruofei Du
    2025
    Online-EYE: multimodal implicit eye tracking calibration for XR
    Baosheng James Hou
    Lucy Abramyan
    Prasanthi Gurumurthy
    Khushman Patel
    Ivana Tosic
    Eric Gonzalez
    Haley Adams
    Andrea Colaco
    Ken Pfeuffer
    Hans Gellersen
    Karan Ahuja
    Mar Gonzalez Franco
    2025
    Oculomics: Current Concepts and Evidence
    Zhuoting Zhu
    Yueye Wang
    Ziyi Qi
    Wenyi Hu
    Xiayin Zhang
    Siegfried Wagner
    Yujie Wang
    An Ran Ran
    Joshua Ong
    Ethan Waisberg
    Mouayad Masalkhi
    Alex Suh
    Yih Chung Tham
    Carol Y. Cheung
    Xiaohong Yang
    Honghua Yu
    Zongyuan Ge
    Wei Wang
    Bin Sheng
    Yun Liu
    Andrew G. Lee
    Alastair Denniston
    Peter van Wijngaarden
    Pearse Keane
    Ching-Yu Cheng
    Mingguang He
    Tien Yin Wong
    Progress in Retinal and Eye Research (2025)
    PreFix: Optimizing the Performance of Heap-Intensive Applications
    Chaitanya Mamatha Ananda
    Rajiv Gupta
    Sriraman Tallam
    Han Shen
    David Li
    CGO 2025: International Symposium on Code Generation and Optimization, Las Vegas, NV, USA (to appear)
    InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs
    Zhongyi Zhou
    Jing Jin
    Vrushank Phadnis
    Xiuxiu Yuan
    Jun Jiang
    Xun Qian
    Jingtao Zhou
    Yiyi Huang
    Zheng Xu
    Yinda Zhang
    Kristen Wright
    Jason Mayes
    Mark Sherwood
    Johnny Lee
    Alex Olwal
    David Kim
    Ram Iyengar
    Na Li
    Ruofei Du
    Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI), ACM, pp. 23
    Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
    Arthur Brant
    Preeti Singh
    Xiang Yin
    Lu Yang
    Jay Nayar
    Divleen Jeji
    Yossi Matias
    Greg Corrado
    Dale Webster
    Sunny Virmani
    Anchintha Meenu
    Naresh Babu Kannan
    Jonathan Krause
    Florence Thng
    Lily Peng
    Yun Liu
    Kasumi Widner
    Ramasamy Kim
    JAMA Network Open (2025)
    Deviate or Not: Learning Coalition Structures with Multi-bit Observations in Games
    Yixuan Even Xu
    Zhe Feng
    Fei Fang
    AAAI (2025)
    Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes
    Tony Tan-Torres
    Pradeep Praveen
    Divleen Jeji
    Arthur Brant
    Xiang Yin
    Lu Yang
    Preeti Singh
    Tayyeba Ali
    Ilana Traynis
    Dushyantsinh Jadeja
    Rajroshan Sawhney
    Dale Webster
    Naama Hammel
    Yun Liu
    Kasumi Widner
    Sunny Virmani
    Pradeep Venkatesh
    Jonathan Krause
    Nikhil Tandon
    Ophthalmology and Therapy (2025)
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