Alert button
Picture for Rory Pilgrim

Rory Pilgrim

Alert button

Advancing Multimodal Medical Capabilities of Gemini

Add code
Bookmark button
Alert button
May 06, 2024
Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle Barral, Shravya Shetty, David Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden

Viaarxiv icon

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Add code
Bookmark button
Alert button
Aug 02, 2023
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, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Greg S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren

Figure 1 for ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Figure 2 for ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Figure 3 for ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Figure 4 for ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Viaarxiv icon

Enabling faster and more reliable sonographic assessment of gestational age through machine learning

Add code
Bookmark button
Alert button
Mar 22, 2022
Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes

Figure 1 for Enabling faster and more reliable sonographic assessment of gestational age through machine learning
Figure 2 for Enabling faster and more reliable sonographic assessment of gestational age through machine learning
Figure 3 for Enabling faster and more reliable sonographic assessment of gestational age through machine learning
Figure 4 for Enabling faster and more reliable sonographic assessment of gestational age through machine learning
Viaarxiv icon

AI system for fetal ultrasound in low-resource settings

Add code
Bookmark button
Alert button
Mar 18, 2022
Ryan G. Gomes, Bellington Vwalika, Chace Lee, Angelica Willis, Marcin Sieniek, Joan T. Price, Christina Chen, Margaret P. Kasaro, James A. Taylor, Elizabeth M. Stringer, Scott Mayer McKinney, Ntazana Sindano, George E. Dahl, William Goodnight III, Justin Gilmer, Benjamin H. Chi, Charles Lau, Terry Spitz, T Saensuksopa, Kris Liu, Jonny Wong, Rory Pilgrim, Akib Uddin, Greg Corrado, Lily Peng, Katherine Chou, Daniel Tse, Jeffrey S. A. Stringer, Shravya Shetty

Figure 1 for AI system for fetal ultrasound in low-resource settings
Figure 2 for AI system for fetal ultrasound in low-resource settings
Figure 3 for AI system for fetal ultrasound in low-resource settings
Figure 4 for AI system for fetal ultrasound in low-resource settings
Viaarxiv icon

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

Add code
Bookmark button
Alert button
May 16, 2021
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara

Figure 1 for Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Figure 2 for Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Figure 3 for Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Figure 4 for Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Viaarxiv icon