UCSF, GE Healthcare leverage deep learning algorithms for clinician support

UC San Francisco's Center for Digital Health Innovation and GE Healthcare are collaborating to develop a library of deep learning algorithms.

The organizations say this partnership will help guide healthcare providers through diagnosis and treatment by leveraging integrated data from imaging technologies and EHRs. The first algorithms, which aim to expedite diagnosis, will be deployed to physicians internationally through the GE Health Cloud and smart GE imaging machines. The algorithms will use deep learning — a branch of machine learning that uses machines to analyze large datasets.

"With this collaboration, these technologies will be applied to our clinical data and images to provide clinicians with actionable information in near real-time," said Michael Blum, MD, associate vice chancellor for informatics, director of CDHI and professor of medicine at UCSF. "Together, we will develop tools and algorithms that will allow clinicians and researchers to identify problems and ask questions that are only achievable with vast computing power and datasets."

"This partnership is about the future of healthcare — technology, analytics and cloud computing power all combining to enable clinicians to make faster decisions for better patient outcomes," said John Flannery, president and CEO of GE Healthcare.

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