CHICAGO, Nov. 29, 2016 /PRNewswire/
-- IBM (NYSE: IBM) today announced at the Radiological
Society of North America Annual Meeting (RSNA 2016) it will preview
new imaging solutions from Watson Health and Merge Healthcare
(Merge; an IBM Company) designed to help healthcare providers
pursue personalized approaches to patient diagnosis, treatment, and
monitoring. The solutions benefit from more than a decade of
machine learning and artificial intelligence (AI) work conducted in
IBM Research. Further, IBM Research has partnered with the
Radiological Society to debut a live demonstration of how
Watson understands, reasons and
learns from imaging information.
Medical images are by far the largest and fastest-growing data
source in the healthcare industry -- IBM researchers estimate that
they account for at least 90% of all medical data today -- but they
also present challenges that need to be addressed. The volume of
medical images can be overwhelming to even the most sophisticated
specialists; radiologists in some hospital emergency rooms are
presented with thousands of images each day.1
Tools to help clinicians extract insights from medical images
remain limited, requiring most analysis to be done manually. This
has created an opportunity to analyze and cross-reference medical
images against a deep trove of lab results, electronic health
records, genomic tests, clinical studies and other health-related
data sources to enable providers to compare new medical images with
a patient's image history as well as populations of similar
patients to detect changes and anomalies.
"The breadth and depth of Watson-powered solutions on display at RSNA
2016 from Watson Health's imaging group and from Merge are
unmatched among the AI community, and showcase how IBM is bringing
cognitive computing to healthcare in clinically meaningful ways,"
said Anne LeGrand, Vice President of
Imaging for IBM Watson Health.
Watson Health will show:
- A cognitive peer review tool intended to help healthcare
professionals reconcile differences between a patient's clinical
evidence, and data in that patient's electronic health record
(EHR).
- A cognitive data summarization tool intended to provide
radiologists, cardiologists, and other physicians with
patient-specific clinical information to use when interpreting
imaging studies, or when diagnosing and treating patients.
- A cognitive physician support tool intended to help
doctors personalize healthcare decisions based on integrating
imaging data with other types of patient data.
- The MedyMatch "Brain Bleed" App, a cognitive image
review tool intended to help emergency room physicians diagnose a
stroke or brain bleed in a trauma patient by identifying relevant
evidence in a patient
record.
Merge will show:
- Marktation, a new process for interpreting medical
images intended to help physicians improve image reading speed and
accuracy, with an initial application in mammography.
- Watson Clinical Integration Module, a cloud application
for radiologists that aims to help increase reader efficiency and
counteract common causes of errors in medical imaging, such as base
rate neglect, anchoring, bias, framing bias, and premature
closure.
- Lesion Segmentation and Tracking Module, designed to
help radiologists increase the speed by which they interpret and
report comparison exams in cancer patients and for other patient
conditions that require longitudinal tracking.
"Watson cognitive computing is
ideally suited to support radiologists on their journey 'Beyond
Imaging' to practices that address the needs of patient
populations, deliver improved patient outcomes, and demonstrate
real-world value," said Nancy
Koenig, General Manager of Merge Healthcare. "This week at
RSNA, Merge is proud to unveil solutions for providers that enable
the first steps on the cognitive care journey, addressing breast
cancer, lung cancer, and trauma patients in the ER."
RSNA and IBM Research Show Physicians How Watson Understands,
Reasons and Learns
IBM Research will show physicians how Watson might reduce the time to diagnosis and
increase efficiency in provider workflows. Radiologists select
cases from a variety of imaging topics, make their diagnosis, and
see how a Watson solution attempts
to assist the same case as it understands, reasons and learns from
text- and imaging data in real time.
The live demonstration showcases more than a decade of work by
IBM Research's top medical imaging, text mining, and AI data
scientists. The demo is able to analyze patient data culled from
thousands of data sources and present insights in a compact summary
report intended to help clinicians efficiently reach a differential
diagnosis. For example, the technology featured in the demo uses
deep learning to recognize positions in the body for major
anatomical structures (such as in a CT imaging study) and detects
anomalies (such as dissections in the aorta, or embolisms in
pulmonary arteries). Combining imaging and clinical data with
clinical knowledge, it performs clinical inference on the patient's
condition and its management, pre-assembling relevant information
in a simple online format for a diagnosing physician to
consider.
IBM is also showcasing at RSNA 2016 its ecosystem approach to
innovation, including the global Watson Health medical imaging
collaborative and work with Siemens Healthineers to introduce
Population Health Management solutions worldwide. For more
information about IBM's presence at RSNA 2016, visit the Merge web
site and follow @MergeHealthcare for #RSNA16 updates throughout the
conference.
The Watson Health Imaging and Merge demonstrations are cognitive
healthcare works-in-progress in Booth 2538 in South Hall
A.2
About IBM Research
For more than seven decades, IBM
Research has continued to define the future of information
technology with more than 3,000 researchers in 12 labs located
across six continents. Scientists from IBM Research have produced
six Nobel Laureates, 10 U.S. National Medals of Technology, five
U.S. National Medals of Science, six Turing Awards, 19 inductees in
the National Academy of Sciences and 20 inductees into the U.S.
National Inventors Hall of Fame. For more information about IBM
Research, visit www.research.ibm.com.
About IBM Watson Health
Watson is the first commercially available
cognitive computing capability representing a new era in computing.
The system, delivered through the cloud, analyzes high volumes of
data, understands complex questions posed in natural language, and
proposes evidence-based answers. Watson continuously learns, gaining in value
and knowledge over time, from previous interactions. In
April 2015, the company launched IBM
Watson Health and the Watson Health Cloud platform. IBM Watson
Health is helping to improve the ability of doctors, researchers
and insurers to innovate by surfacing insights from the massive
amount of personal health data being created and shared daily. The
Watson Health Cloud can mask patient identities and allow for
information to be shared and combined with a dynamic and constantly
growing aggregated view of clinical research and social health
data. For more information on IBM Watson,
visit: ibm.com/watson. For more information on IBM Watson
Health, visit: ibm.com/watsonhealth.
Resources
- Photos
- Video
- IBM Research Blog Post
Media Contacts:
Lorie Fiber/Watson Health
lfiber@us.ibm.com
646-318-0575
Caroline Yu Vespi/IBM Research –
Almaden
cvespi@us.ibm.com
925-212-9184
1 IBM Research estimate
2 These Watson Health Imaging and Merge solutions are
not available for any commercial or non-commercial use in
the United States and have not
been evaluated by any regulatory agencies (such as USFDA) for
safety or efficacy. Any demonstrated functionality, statements and
claims related to capabilities are aspirational only and represent
a vision of a possible future technology. All statements
regarding IBM's future direction and intent are subject to change
or withdrawal without notice, and represent goals and objectives
only.
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SOURCE IBM