Predicting “Heart Age” Using Electrocardiography

by Robyn L. Ball, Alan H. Feiveson, Todd T. Schlegel, Vito Starc, Alan R. Dabney
Published 2014-03-01

A statistical approach to identify optimal inclusion criteria: An application to acute stroke clinical trials

by Robyn L. Ball, Bin Jiang, Manisha Desai, Patrik Michel, Ashraf Eskandari, Tudor Jovin, Max Wintermark
Published 2019-06-01

Novel application of virtual reality in patient engagement for deep brain stimulation: A pilot study

by Malie K. Collins, Victoria Y. Ding, Robyn L. Ball, Dana L. Dolce, Jaimie M. Henderson, Casey H. Halpern
Published 2018-07-01

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

by Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom H. Boyles, Matthew P. Lungren
Published 2020-09-01

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

by Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Published 2020-07-01

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

by Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Published 2020-04-01

Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting.

by Farhana Haque, Robyn L Ball, Selina Khatun, Mujaddeed Ahmed, Saraswati Kache, Mohammod Jobayer Chisti, Shafiqul Alam Sarker, Stace D Maples, Dane Pieri, Teja Vardhan Korrapati, Clea Sarnquist, Nancy Federspiel, Muhammad Waliur Rahman, Jason R Andrews, Mahmudur Rahman, Eric Jorge Nelson
Published 2017-01-01

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

by Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Francis G Blankenberg, Jayne Seekins, Timothy J Amrhein, David A Mong, Safwan S Halabi, Evan J Zucker, Andrew Y Ng, Matthew P Lungren
Published 2018-11-01

Impact of a deep learning assistant on the histopathologic classification of liver cancer

by Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen
Published 2020-02-01

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

by Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Safwan Halabi, Evan Zucker, Gary Fanton, Derek F Amanatullah, Christopher F Beaulieu, Geoffrey M Riley, Russell J Stewart, Francis G Blankenberg, David B Larson, Ricky H Jones, Curtis P Langlotz, Andrew Y Ng, Matthew P Lungren
Published 2018-11-01