1. Washington University St. Louis and Vanderbilt University
Healthcare, Education
Business challenge
Researchers at two universities sought to enhance magnetic resonance imaging (MRI) scan analysis, to enable physicians to use huge amounts of data generated effectively while keeping scan times short.
Transformation
Washington University St. Louis and Vanderbilt University deployed IBM® solutions to accelerate creation and deployment of deep learning models that fill in the gaps in incomplete MRI brain scans.
“Combined, our research and IBM technology brings cutting-edge deep learning capabilities within reach of physicians so that they can give patients better care.”
—Yong Wang, PhD, Assistant Professor of Gynecology and Obstetrics, Radiology and Biomedical Engineering at Washington University St. Louis
Business benefits:
20x
faster training of deep learning models than traditional PC environments
Increases
speed and accuracy of diagnosis, enhancing treatments and patient outcomes
Lowers
barriers to deep learning for physicians, addressing the big data skills gap
Washington University St. Louis and Vanderbilt University
Harnessing AI to transform diagnosis and treatment of brain cancer
Solution components
IBM Spectrum Conductor® Deep Learning Impact (now part of IBM Watson® Machine Learning Accelerator)
IBM Power® Systems S822LC
Client Name
Washington University St. Louis and Vanderbilt University
Company Background
Washington University in St. Louis is a private research university with more than 15,000 students from more than 100 countries. Each year, researchers at the university undertake more than 3,000 projects in areas including medical, environmental and energy, innovation and entrepreneurial, and plant science research. The Washington University School of Medicine in St. Louis is dedicated to advancing human heath worldwide, and has contributed to many breakthroughs in science and medicine over the last century.
Located in Nashville, TN, Vanderbilt University is a private research university offering undergraduate and graduate programs in the liberal arts and sciences, engineering, music, education and human development, alongside professional degrees. In 2017, the university received USD 230 million in sponsored research and project awards. The Vanderbilt University Institute of Imaging Science is a trans-institutional initiative within Vanderbilt University serving physicians, scientists, students and corporate affiliates.
Business challenge
Researchers at two universities sought to enhance magnetic resonance imaging (MRI) scan analysis, to enable physicians to use huge amounts of data generated effectively while keeping scan times short.
The benefit
Trains deep learning models 20 times faster than traditional PC environments, enhancing patient outcomes through accurate, fast diagnosis. Provides physicians with an entry point to deep learning.
Pull Quote
“Combined, our research and IBM technology brings cutting-edge deep learning capabilities within reach of physicians so that they can give patients better care.”
—Yong Wang, PhD, Assistant Professor of Gynecology and Obstetrics, Radiology and Biomedical Engineering at Washington University St. Louis
Solution components
IBM Spectrum Conductor® Deep Learning Impact (now part of IBM Watson® Machine Learning Accelerator)
IBM Power® Systems S822LC
Case study Link
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Washington University in St. Louis is a private research university with more than 15,000 students from more than 100 countries.
Located in Nashville, TN, Vanderbilt University is a private research university offering undergraduate and graduate programs in the liberal arts and sciences, engineering, music, education and human development.