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 medical imaging collaborative


IBM Watson aligns with 16 health systems and imaging firms to apply cognitive computing to battle cancer, diabetes, heart disease

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IBM Watson Health has formed a medical imaging collaborative with more than 15 leading healthcare organizations. The goal: To take on some of the most deadly diseases. The collaborative, which includes health systems, academic medical centers, ambulatory radiology providers and imaging technology companies, aims to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Watson will mine insights from what IBM calls previously invisible unstructured imaging data and combine it with a broad variety of data from other sources, such as data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published outcomes studies. As the work of the collaborative evolves, Watson's rationale and insights will evolve, informed by the latest combined thinking of the participating organizations.


IBM forms Watson Health medical imaging collaborative to improve doctors' work

#artificialintelligence

IBM this week announced it has created a Watson Health medical imaging collaborative, a global initiative including more than fifteen leading health care entities such as academic medical centers, ambulatory radiology providers and imaging technology companies. The collaborative aims to bring cognitive imaging into daily practice to help doctors address cancers, diabetes, eye, brain and heart diseases. Members of the collaborative intend to put Watson to work to extract insights from previously'invisible' unstructured imaging data and combine that with a variety of data from other sources. In doing so, the efforts may help doctors make personalised care decisions relevant to a specific patient while building a body of knowledge to benefit the broader patient populations. This information may include data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published studies.