Healthcare Analytics, Population Health Management, Healthcare Big Data

Imaging Analytics

Mount Sinai Creates Imaging Data Warehouse for Precision Medicine

June 20, 2017 - Mount Sinai Health System has created a centralized imaging research warehouse (IRW) able to integrate clinical images with deidentified electronic health record (EHR) data. The project, developed by Mount Sinai’s Translational and Molecular Imaging Institute (TMII) and supported by the National Institute of Health, will allow researchers to access imaging and other clinical data on...


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Top 4 Machine Learning Use Cases for Healthcare Providers

by Jennifer Bresnick

As healthcare providers and vendors start to show off more mature big data analytics skills, machine learning and artificial intelligence have quickly rocketed to the top of the industry’s buzzword list. The possibility of using intelligent...

Google’s Machine Learning, Imaging Analytics Flag Breast Cancer

by Jennifer Bresnick

A new approach to imaging analytics driven by machine learning algorithms can identify metastasized breast cancer with sensitivity rates that exceed other automated methods and even rival human pathologists, says a research paper published by...

IBM Watson Expands Role in Imaging Analytics, Population Health

by Jennifer Bresnick

ORLANDO – IBM Watson is continuing to make its presence felt in the healthcare industry by launching a slew of new machine learning and artificial intelligence initiatives focused on care coordination, advanced imaging analytics, and population...

Microsoft Revs Up Healthcare Artificial Intelligence Projects

by Jennifer Bresnick

Microsoft is getting very serious about bringing artificial intelligence into the healthcare system, launching a brand new research division and several development projects with provider groups and vendor partners. The company, better known...

Mount Sinai Uses Machine Learning for Heart Imaging Analytics

by Jennifer Bresnick

Healthcare organizations are quickly pushing forward with the development of machine learning algorithms to tackle one of the toughest problems in big data: extracting and analyzing information from static images. In a study published this week...

UCSF to Develop Machine Learning for CDS, Imaging Analytics

by Jennifer Bresnick

The University of California San Francisco’s Center for Digital Health Innovation (CDHI) and GE Healthcare are partnering to develop a cache of machine learning algorithms and imaging analytics tools that can be used to provide clinical...

Imaging Analytics: The First Step to Personalized Medicine

by Michael Graetz

Across the healthcare industry, there is a rising demand for personalized medicine, including the desire to have better access, visibility and insight into patient records. Everyone in the ecosystem – patients, doctors, hospitals, insurers...

Imaging Analytics Get Big Data Boost from New Partnerships

by Jennifer Bresnick

Diagnostic data from imaging studies such as x-rays, MRIs, and CAT scans is usually locked away in the images themselves, or in accompanying free-text reports attached as PDFs to electronic medical records.  However, a series of new partnerships...

IBM Boosts Big Data, Imaging Knowhow with $1B Merge Acquisition

by Jennifer Bresnick

IBM continues to make big moves into the healthcare big data analytics space, leveraging its Watson supercomputing platform to provide clinical decision support and machine learning services to a growing number of stakeholders.  In a press...

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