ARLINGTON, Va., October 08, 2019 /PRNewswire-PRWeb/ -- The
global market for artificial intelligence (AI) in healthcare is
currently estimated at $1.9 billion,
generated largely by sales in the workflow solutions market
segment, followed by population health management. The market is
expected to keep pace with the total AI market growth, reaching
$11.4 billion by 2024. This is
according to market researcher Kalorama Information's new report,
"The Market for Artificial Intelligence (AI) in Healthcare."
Population health, workflow improvements, diagnostics, and risk
assessment are among the areas where artificial intelligence is
already being employed. Some examples of AI technologies detailed
in the report include the following:
- - GE Healthcare Hospital Command Centers: GE Healthcare is collaborating with hospital
service providers in Europe and
the U.S. to implement an AI-powered command center to effectively
and efficiently synchronize all elements of a patient's hospital
experience. Advanced algorithms will help staff to anticipate and
resolve bottlenecks in care delivery before they occur,
recommending actions to enable faster, more responsive patient care
and better allocation of resources.
- - Sensely "Avatar Nurse:" This startup company uses AI to power
"Molly," a virtual health assistant. Molly can help connect
patients with their healthcare team, guide them to resources that
are helpful for their current needs, use speech recognition to
answer patient questions with natural language, and connect with
their health records for a truly personalized experience.
- - Google Deep Mind: What physicians are making decisions based
on is often a black box. Deep Mind's model provides the clinical
information that was most important in making its predictions of
deteriorating kidney function and provides predicted future results
for several relevant blood tests. This information may help
clinicians understand the reasoning behind the AI-enabled alert and
anticipate future patient deterioration. Google's DeepMind applied
AI technology to a comprehensive deidentified electronic health
record dataset collected from a network of over a hundred US VA
sites. The research shows that the AI could accurately predict
acute kidney injury in patients up to 48 hours earlier than it is
currently diagnosed. Importantly, the model correctly predicted 9
out of 10 patients whose condition deteriorated so severely that
they then required dialysis.
- - Copan Diagnostics AI Culture Plate Analysis: Copan's
Phenotypic Colony Recognition algorithm examines colonies present
on the plate and compares them against a library of thousands of
colony images to match the phenotypic characteristics to assign a
predictive value. The physician confirms the presumptive ID
assigned by the software and then performs further workup.
Kalorama's report, "The Market for Artificial Intelligence (AI)
in Healthcare," has more examples of the uses of AI in
healthcare.
About Kalorama Information
For more than 30 years, Kalorama Information has been a leading
publisher of market research in healthcare areas, including in
vitro diagnostics (IVD), imaging, biotechnology, healthcare,
medical devices, and pharmaceuticals.
SOURCE Kalorama Information