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#Podcast - GBT (OTC: $GTCH) CTO Discusses Hippocrates, qTerm, and #AI in #Healthcare
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#Stocks
discussed: (OTCPINK: $GTCH) (NYSE: $IBM) (NasdaqGS: $AAPL) (NasdaqGS: $MSFT)
Vancouver, Kelowna,
Delta, BC – June 1, 2022
– Investorideas.com (www.investorideas.com),
a global investor news source covering Artificial Intelligence (AI) brings
you today’s edition of The AI Eye, featuring an
exclusive interview with the CTO of technology company, GBT Technologies Inc. (OTCPINK:GTCH).
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As the adoption of artificial intelligence (AI) and its
adjacent technologies in the healthcare space increases, so too does its use cases
within the sector. In a recent interview with Investorideas.com, Danny Rittman,
the CTO of GBT Technologies Inc. (OTC PINK:GTCH) highlighted the way AI
is being leveraged in GBT’s own healthcare tech IP’s, and in the healthcare and
medicine domain more broadly.
“We’ve seen AI in healthcare develop rapidly in the
past decade or so,” Rittman said. “Major corporations, like IBM (NYSE:IBM), Apple (NasdaqGS:AAPL)
and others stepped in and introduced apparatuses like wearables, as well as AI
systems in other forms. IBM was one of the first major players with Watson,
which was and is still a huge project, providing analytics in the cancer domain
and others.”
GBT’s intelligent health advisory system, codenamed
Hippocrates, leverages the company’s Avant! AI engine. Rittman explained
Hippocrates and how it can be used as an assistant to physicians.
“We actually had the Hippocrates more than six months
ago. It’s basically the core of Avant!, our AI engine, which we implemented
here for the health domain,” he said. “Avant! can be adapted to any domain, but
since the company has been moving into this area for the past few years, we
decided to take the core of the Avant! and make it the Hippocrates system,
which is going to be a health advisor. The Hippocrates system will have all the
information taken from the CDC and the National Health Institute, so all the
official accredited information, along with medical textbooks that we train the
system with. With that, it will have its initial and vast database to be able
to provide health tips and advice as a first line.”
“So, you can ask Hippocrates, and the system will
initiate a dialog with the user … and try to diagnose as a first line, but not
as a replacement for a physician,” Rittman said. “Each case is recorded, the
system is trained, and next time it will know more. The system gains knowledge
with time.”
A report published by Precedence Research, for instance, finds that
the global market for AI in Healthcare is projected to grow from $11.06 billion
USD in 2021 to over $187.95 billion by 2030, registering a compound annual
growth rate (CAGR) of 37 percent from 2022-30. One of the factors cited in the
report as a market driver is the use of wearables. Rittman explained the status
of GBT’s own wearable medical device, the qTerm, which measures human vitals information
(oxygen, heart rate and body temperature), as well as how it works.
“We’ve successfully completed the prototypes and we’re
now building its mobile application that is more representative, and includes
some analytics,” he said. “I estimate we’ll release it within the next month or
two. After its launch, we will immediately start its integration with the
Hippocrates system. That’s the plan for the qTerm, along with adding more
features to it.”
“A user can sit at home, take their vitals, and at the
doctor’s office they’ll be able to use the widget on our website to enter the
qTerm’s ID and see the patient’s vitals,” he said. “We think this is great,
because it allows telemedicine from anywhere around the world directly to your
doctor’s office. This will also be supervised by the AI system.”
Perhaps one of the best known pieces of wearable tech
is Apple’s Apple Watch. It was recently reported that researchers at the Mayo Clinic
used an AI algorithm to interpret single-lead electrocardiogram (ECG) tracings
from an Apple Watch and “effectively identified patients with a weak heart
pump.” Itzhak Zachi Attia, the lead AI scientist in the Department of
Cardiovascular Medicine at Mayo Clinic, explained:
"Approximately
420 patients had a watch ECG recorded within 30 days of a clinically ordered
echocardiogram, or ultrasound of the heart, a standard test to measure pump
strength. We took advantage of those data to see whether we could identify a
weak heart pump with AI analysis of the watch ECG. While our data are early,
the test had an area under the curve of 0.88, meaning it is as good as or
slightly better than a medical treadmill test. AI analysis of the watch ECG is
a powerful test to identify a weak heart pump."
Elsewhere in the space, BeeKeeperAI, described as “a
pioneer in zero trust, confidential computing and privacy-preserving analytics
for the training, validation, and deployment of artificial intelligence (AI) in
healthcare,” recently announced that it had expanded its
collaboration with Microsoft (NasdaqGS:MSFT) to “allow algorithm developers
and healthcare data stewards to access through the Microsoft Azure Marketplace,
thereby accelerating AI-Powered Innovation in Healthcare. Michael Blum, MD,
Co-founder and CEO of BeeKeeperAI, said:
“Through
our collaboration with Microsoft and our use of Microsoft Azure services, we
have developed key insights that will help to prepare the healthcare AI
marketplace for confidential computing and provide resources to help data
stewards and algorithm developers to effectively work in this new environment.
We chose Azure because of its privacy and security for data and algorithms as
well as the infrastructure needed to compute at scale, in the cloud, across
multiple locations.”
These instances are just a sample of all the exciting
ways AI is being used in healthcare and medicine. Rittman particularly
highlighted the AI’s ability in managing data as an asset in its applicability
in the space.
“I think one of its major advantages is to encapsulate
a vast amount of datasets, handling big data, and by doing that providing
assistance and suggestions or pointing out potential possibilities to the
medical team,” Rittman said.
But regardless of AI’s increasing ubiquity in
healthcare, Rittman insists on the primacy of actual doctors.
“We do not believe AI systems will replace the actual
medical team or professionals,” he said. “The physician is the ultimate
authority.”
Sam Mowers,
Investorideas.com
Read and hear other editions of the
AI Eye
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on Investorideas.com visit here
About
GBT Technologies Inc.
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers
itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and
Enabled Mobile Technology Platforms used to increase IC performance. GBT has
assembled a team with extensive technology expertise and is building an
intellectual property portfolio consisting of many patents. GBT’s mission, to
license the technology and IP to synergetic partners in the areas of hardware
and software. Once commercialized, it is GBT’s goal to have a suite of products
including smart microchips, AI, encryption, Blockchain, IC design, mobile
security applications, database management protocols, with tracking and
supporting cloud software (without the need for GPS). GBT envisions this system
as a creation of a global mesh network using advanced nodes and super
performing new generation IC technology. The core of the system will be its
advanced microchip technology; technology that can be installed in any mobile
or fixed device worldwide. GBT’s vision is to produce this system as a low
cost, secure, private-mesh-network between any and all enabled devices. Thus,
providing shared processing, advanced mobile database management and sharing
while using these enhanced mobile features as an alternative to traditional
carrier services.
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