Artificial Intelligence Can Now Gauge Your Risk of Cardiovascular Death
Artificial Intelligence Can Now Gauge Your Risk of Cardiovascular
Death
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Finally,
some non-scary artificial intelligence (AI) news that won’t scare
the living bejeezus out of you: artificial intelligence has
proven to be a key feather in the transformative cap of health care
We are
benefitted by AI when it can trumpet the need for preventative interventions by
predicting such health threats as catching
type 1 diabetes and helping
predict breast cancer, along with its role in automated operations
and precision surgery.
Yes, the benefits of AI
in the health care spectrum are truly life-changing… and quite literally saving
lives.
Another
big AI game changer? Researchers at MIT’s Computer
Science and Artificial Intelligence Laboratory (CSAIL) are
using machine learning to estimate the risk of cardiovascular death. The
system, RiskCardio, focuses on patients who have survived an acute coronary
syndrome (ACS) and can better predict the risk of death caused by
cardiovascular issues that block or reduce blood flow.
“Using
just the first 15 minutes of a patient’s raw electrocardiogram (ECG) signal,
the tool produces a score that places patients into different risk categories,”
CSAIL explained.
RiskCardio’s technology
uses just the patient’s raw ECG signal to determine cardiovascular risk—without
requiring any additional external patient information such as age or weight.
Based on the sets of consecutive beats in the sample, RiskCardio can determine
whether a patient will die within 30 days or up to a year.
So why is this a good
thing?
If a patient with ASC
checks into a hospital, a doctor can use RiskCardio’s AI technology to
determine the appropriate level of treatment.
“Machine
learning is particularly good at identifying patterns, which is deeply relevant
to assessing patient risk,” stated
Divya Shanmugam, the lead author on the research paper about
RiskCardio.
The advantage
AI offers over traditional analytics and clinical
decision-making techniques is unprecedented insight for physicians to gain
regarding diagnostics, care processes, treatment variability and outcomes for
patients.
The
bottom line is that AI is being developed to prevent death and take
precautions. And people have taken note; according
to Forbes, the total investment in health care is expected to reach $6.6
billion by 2021. Not to mention, AI advances could potentially
created $150
billion in annual savings for the United States health care
economy by 2026.
Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed.
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