Recursive Sparse, Spatiotemporal Coding. - Thomas L. Dean; Richard Washington; Greg Corrado (ISM, 2009)

Three Controversial Hypotheses Concerning Computation in the Primate Cortex. - Thomas L. Dean; Greg Corrado; Jonathon Shlens (AAAI, 2012)

Building high-level features using large scale unsupervised learning. - Quoc V. Le; Marc'Aurelio Ranzato; Rajat Monga; Matthieu Devin; Greg Corrado; Kai Chen 010; Jeffrey Dean; Andrew Y. Ng (ICML, 2012)

Large Scale Distributed Deep Networks. - Jeffrey Dean; Greg Corrado; Rajat Monga; Kai Chen 010; Matthieu Devin; Quoc V. Le; Mark Z. Mao; Marc'Aurelio Ranzato; Andrew W. Senior; Paul A. Tucker; Ke Yang; Andrew Y. Ng (NIPS, 2012)

DeViSE: A Deep Visual-Semantic Embedding Model. - Andrea Frome; Gregory S. Corrado; Jonathon Shlens; Samy Bengio; Jeffrey Dean; Marc'Aurelio Ranzato; Tomás Mikolov (NIPS, 2013)

Distributed Representations of Words and Phrases and their Compositionality. - Tomás Mikolov; Ilya Sutskever; Kai Chen 010; Gregory S. Corrado; Jeffrey Dean (NIPS, 2013)

Efficient Estimation of Word Representations in Vector Space - Tomás Mikolov; Kai Chen 010; Greg Corrado; Jeffrey Dean (ICLR (Workshop Poster), 2013)

Nanoscale electronic synapses using phase change devices. - Bryan L. Jackson; Bipin Rajendran; Gregory S. Corrado; Matthew J. Breitwisch; Geoffrey W. Burr; Roger Cheek; Kailash Gopalakrishnan; Simone Raoux; Charles T. Rettner; Alvaro Padilla; Alejandro G. Schrott; Rohit S. Shenoy; et al. (ACM J. Emerg. Technol. Comput. Syst., 2013)

Zero-Shot Learning by Convex Combination of Semantic Embeddings. - Mohammad Norouzi 002; Tomás Mikolov; Samy Bengio; Yoram Singer; Jonathon Shlens; Andrea Frome; Greg Corrado; Jeffrey Dean (ICLR, 2014)

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments. - Stephan Gouws; Yoshua Bengio; Greg Corrado (ICML, 2015)

Smart Reply: Automated Response Suggestion for Email. - Anjuli Kannan; Karol Kurach; Sujith Ravi; Tobias Kaufmann 004; Andrew Tomkins; Balint Miklos; Greg Corrado; László Lukács; Marina Ganea; Peter Young; Vivek Ramavajjala (KDD, 2016)

Wide & Deep Learning for Recommender Systems. - Heng-Tze Cheng; Levent Koc 001; Jeremiah Harmsen; Tal Shaked; Tushar Chandra; Hrishi Aradhye; Glen Anderson; Greg Corrado; Wei Chai; Mustafa Ispir; Rohan Anil; Zakaria Haque; et al. (DLRS@RecSys, 2016)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. - Yonghui Wu; Mike Schuster; Zhifeng Chen; Quoc V. Le; Mohammad Norouzi 002; Wolfgang Macherey; Maxim Krikun; Yuan Cao 007; Qin Gao; Klaus Macherey; Jeff Klingner; Apurva Shah; et al. (CoRR, 2016)

Detecting Cancer Metastases on Gigapixel Pathology Images. - Yun Liu 013; Krishna Gadepalli; Mohammad Norouzi 002; George E. Dahl; Timo Kohlberger; Aleksey Boyko; Subhashini Venugopalan; Aleksei Timofeev; Philip Q. Nelson; Gregory S. Corrado; Jason D. Hipp; Lily Peng; et al. (CoRR, 2017)

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. - Ryan Poplin; Avinash V. Varadarajan; Katy Blumer; Yun Liu 013; Michael V. McConnell; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. - Jonathan Krause; Varun Gulshan; Ehsan Rahimy; Peter Karth; Kasumi Widner; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Deep learning for predicting refractive error from retinal fundus images. - Avinash V. Varadarajan; Ryan Poplin; Katy Blumer; Christof Angermüller; Joe Ledsam; Reena Chopra; Pearse A. Keane; Greg Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. - Melvin Johnson; Mike Schuster; Quoc V. Le; Maxim Krikun; Yonghui Wu; Zhifeng Chen; Nikhil Thorat; Fernanda B. Viégas; Martin Wattenberg; Greg Corrado; Macduff Hughes; Jeffrey Dean (Trans. Assoc. Comput. Linguistics, 2017)

Scalable and accurate deep learning for electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Peter J. Liu; Xiaobing Liu; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang 043; Gavin E. Duggan; et al. (CoRR, 2018)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. - Avinash V. Varadarajan; Pinal Bavishi; Paisan Raumviboonsuk; Peranut Chotcomwongse; Subhashini Venugopalan; Arunachalam Narayanaswamy; Jorge Cuadros; Kuniyoshi Kanai; George Bresnick; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Po-Hsuan Cameron Chen; Krishna Gadepalli; Robert MacDonald; Yun Liu 013; Kunal Nagpal; Timo Kohlberger; Jeffrey Dean; Gregory S. Corrado; Jason D. Hipp; Martin C. Stumpe (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

Scalable and accurate deep learning with electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Michaela Hardt; Peter J. Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; et al. (npj Digit. Medicine, 2018)

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. - Carrie J. Cai; Emily Reif; Narayan Hegde; Jason D. Hipp; Been Kim; Daniel Smilkov; Martin Wattenberg; Fernanda B. Viégas; Gregory S. Corrado; Martin C. Stumpe; Michael Terry (CHI, 2019)

TensorFlow.js: Machine Learning For The Web and Beyond. - Daniel Smilkov; Nikhil Thorat; Yannick Assogba; Ann Yuan; Nick Kreeger; Ping Yu; Kangyi Zhang; Shanqing Cai; Eric Nielsen; David Soergel; Stan Bileschi; Michael Terry; et al. (SysML, 2019)

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. - Maithra Raghu; Katy Blumer; Greg Corrado; Jon M. Kleinberg; Ziad Obermeyer; Sendhil Mullainathan (CoRR, 2019)

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. - Boris Babenko; Siva Balasubramanian; Katy E. Blumer; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

Detecting Anemia from Retinal Fundus Images. - Akinori Mitani; Yun Liu 013; Abigail E. Huang; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

A deep learning system for differential diagnosis of skin diseases. - Yuan Liu; Ayush Jain; Clara Eng; David H. Way; Kang Lee; Peggy Bui; Kimberly Kanada; Guilherme de Oliveira Marinho; Jessica Gallegos; Sara Gabriele; Vishakha Gupta; Nalini Singh; et al. (CoRR, 2019)

Similar image search for histopathology: SMILY. - Narayan Hegde; Jason D. Hipp; Yun Liu 013; Michael Emmert-Buck; Emily Reif; Daniel Smilkov; Michael Terry; Carrie J. Cai; Mahul B. Amin; Craig H. Mermel; Philip Q. Nelson; Lily H. Peng; et al. (npj Digit. Medicine, 2019)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Explaining an increase in predicted risk for clinical alerts. - Michaela Hardt; Alvin Rajkomar; Gerardo Flores; Andrew M. Dai; Michael D. Howell; Greg Corrado; Claire Cui; Moritz Hardt (CHIL, 2020)

Scientific Discovery by Generating Counterfactuals Using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Gregory S. Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Michael P. Brenner; Philip C. Nelson; Avinash V. Varadarajan (MICCAI (1), 2020)

Scientific Discovery by Generating Counterfactuals using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Greg Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Rory Sayres; Abigail E. Huang; Siva Balasubramanian; Michael P. Brenner; Philip Q. Nelson; et al. (CoRR, 2020)

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. - Ashish Bora; Siva Balasubramanian; Boris Babenko; Sunny Virmani; Subhashini Venugopalan; Akinori Mitani; Guilherme de Oliveira Marinho; Jorge Cuadros; Paisan Ruamviboonsuk; Gregory S. Corrado; Lily Peng; Dale R. Webster; et al. (CoRR, 2020)

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. - Zaid Nabulsi; Andrew Sellergren; Shahar Jamshy; Charles Lau; Eddie Santos; Atilla P. Kiraly; Wenxing Ye; Jie Yang; Sahar Kazemzadeh; Jin Yu; Raju Kalidindi; Mozziyar Etemadi; et al. (CoRR, 2020)

Detecting hidden signs of diabetes in external eye photographs. - Boris Babenko; Akinori Mitani; Ilana Traynis; Naho Kitade; Preeti Singh; April Y. Maa; Jorge Cuadros; Greg Corrado; Lily Peng; Dale R. Webster; Avinash V. Varadarajan; Naama Hammel; et al. (CoRR, 2020)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

Customization scenarios for de-identification of clinical notes. - Tzvika Hartman; Michael D. Howell; Jeff Dean; Shlomo Hoory; Ronit Slyper; Itay Laish; Oren Gilon; Danny Vainstein; Greg Corrado; Katherine Chou; Ming Jack Po; Jutta Williams; et al. (BMC Medical Informatics Decis. Mak., 2020)

Detecting Deficient Coverage in Colonoscopies. - Daniel Freedman; Yochai Blau; Liran Katzir 001; Amit Aides; Ilan Shimshoni; Danny Veikherman; Tomer Golany; Ariel Gordon; Greg Corrado; Yossi Matias; Ehud Rivlin (IEEE Trans. Medical Imaging, 2020)

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

Vaccine Search Patterns Provide Insights into Vaccination Intent. - Sean Malahy; Mimi Sun; Keith Spangler; Jessica Leibler; Kevin Lane; Shailesh Bavadekar; Chaitanya Kamath; Akim Kumok; Yuantong Sun; Jai Gupta 001; Tague Griffith; Adam Boulanger; et al. (CoRR, 2021)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

AI system for fetal ultrasound in low-resource settings. - Ryan G. Gomes; Bellington Vwalika; Chace Lee; Angelica Willis; Marcin Sieniek; Joan T. Price; Christina Chen; Margaret P. Kasaro; James A. Taylor 003; Elizabeth M. Stringer; Scott Mayer McKinney; Ntazana Sindano; et al. (CoRR, 2022)

Robust and Efficient Medical Imaging with Self-Supervision. - Shekoofeh Azizi; Laura Culp; Jan Freyberg; Basil Mustafa; Sebastien Baur; Simon Kornblith; Ting Chen 007; Patricia MacWilliams; S. Sara Mahdavi; Ellery Wulczyn; Boris Babenko; Megan Wilson; et al. (CoRR, 2022)

Discovering novel systemic biomarkers in photos of the external eye. - Boris Babenko; Ilana Traynis; Christina Chen; Preeti Singh; Akib Uddin; Jorge Cuadros; Lauren P. Daskivich; April Y. Maa; Kim Ramasamy; Eugene Yu-Chuan Kang; Yossi Matias; Gregory S. Corrado; et al. (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. - Abhijit Guha Roy; Jie Ren 006; Shekoofeh Azizi; Aaron Loh; Vivek Natarajan; Basil Mustafa; Nick Pawlowski; Jan Freyberg; Yuan Liu; Zachary Beaver; Nam Vo; Peggy Bui; et al. (Medical Image Anal., 2022)

Multimodal LLMs for Health Grounded in Individual-Specific Data. - Anastasiya Belyaeva; Justin Cosentino; Farhad Hormozdiari; Krish Eswaran; Shravya Shetty; Greg Corrado; Andrew Carroll; Cory Y. McLean; Nicholas A. Furlotte (ML4MHD, 2023)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Using generative AI to investigate medical imagery models and datasets. - Oran Lang; Doron Yaya-Stupp; Ilana Traynis; Heather Cole-Lewis; Chloe R. Bennett; Courtney Lyles; Charles Lau; Christopher Semturs; Dale R. Webster; Gregory S. Corrado; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2023)

Evaluating AI systems under uncertain ground truth: a case study in dermatology. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev V. Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. - Shawn Xu; Lin Yang; Christopher Kelly; Marcin Sieniek; Timo Kohlberger; Martin Ma; Wei-Hung Weng; Attila Kiraly; Sahar Kazemzadeh; Zakkai Melamed; Jungyeon Park; Patricia Strachan; et al. (CoRR, 2023)

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. - Jeremy Lai; Faruk Ahmed; Supriya Vijay; Tiam Jaroensri; Jessica Loo; Saurabh Vyawahare; Saloni Agarwal; Fayaz Jamil; Yossi Matias; Gregory S. Corrado; Dale R. Webster; Jonathan Krause; et al. (CoRR, 2023)

Towards Accurate Differential Diagnosis with Large Language Models. - Daniel McDuff; Mike Schaekermann; Tao Tu 001; Anil Palepu; Amy Wang; Jake Garrison; Karan Singhal; Yash Sharma; Shekoofeh Azizi; Kavita Kulkarni; Le Hou; Yong Cheng; et al. (CoRR, 2023)

Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. - Brenna Li; Amy Wang; Patricia Strachan; Julie Anne Séguin; Sami Lachgar; Karyn C. Schroeder; Mathias S. Fleck; Renee Wong; Alan Karthikesalingam; Vivek Natarajan; Yossi Matias; Gregory S. Corrado; et al. (CHI Extended Abstracts, 2024)

PathAlign: A vision-language model for whole slide images in histopathology. - Faruk Ahmed; Andrew Sellergren; Lin Yang; Shawn Xu; Boris Babenko; Abbi Ward; Niels Olson; Arash Mohtashamian; Yossi Matias; Gregory S. Corrado; Quang Duong 004; Dale R. Webster; et al. (COMPAY@MICCAI, 2024)

Towards Conversational Diagnostic AI. - Tao Tu 001; Anil Palepu; Mike Schaekermann; Khaled Saab 003; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; et al. (CoRR, 2024)

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. - Rajeev V. Rikhye; Aaron Loh; Grace Eunhae Hong; Preeti Singh; Margaret Ann Smith; Vijaytha Muralidharan; Doris Wong; Rory Sayres; Michelle Phung; Nicolas Betancourt; Bradley Fong; Rachna Sahasrabudhe; et al. (CoRR, 2024)

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. - Abbi Ward; Jimmy Li; Julie Wang; Sriram Lakshminarasimhan; Ashley Carrick; Bilson J. L. Campana; Jay Hartford; Pradeep Kumar S; Tiya Tiyasirichokchai; Sunny Virmani; Renee Wong; Yossi Matias; et al. (CoRR, 2024)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Towards a Personal Health Large Language Model. - Justin Cosentino; Anastasiya Belyaeva; Xin Liu 034; Nicholas A. Furlotte; Zhun Yang; Chace Lee; Erik Schenck; Yojan Patel; Jian Cui; Logan Douglas Schneider; Robby Bryant; Ryan G. Gomes; et al. (CoRR, 2024)

General Geospatial Inference with a Population Dynamics Foundation Model. - Mohit Agarwal; Mimi Sun; Chaitanya Kamath; Arbaaz Muslim; Prithul Sarker; Joydeep Paul; Hector Yee; Marcin Sieniek; Kim Philipp Jablonski; Yael Mayer; David Fork; Sheila de Guia; et al. (CoRR, 2024)

Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. - Rory Sayres; Anna Devon-Sand; Mike Schaekermann; Margaret Ann Smith; Patricia Strachan; Grace Eunhae Hong; Trinh Nguyen; Doris Wong; Naama Hammel; Dawn Siegel; Kexin Ren; Chelsea Belletieri; et al. (CHI Extended Abstracts, 2025)

Evaluating medical AI systems in dermatology under uncertain ground truth. - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (Medical Image Anal., 2025)

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation. - Faruk Ahmed; Lin Yang; Tiam Jaroensri; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Gregory S. Corrado; Dale R. Webster; Shravya Shetty; Shruthi Prabhakara; Yun Liu 013; Daniel Golden; et al. (CoRR, 2025)