#AI #Health #Stock News: GBT (OTCPINK: $GTCH)
Researching a Development of a Radio Based Computer Vision System For
Cardiovascular Applicationsl #artificialintelligence
SAN DIEGO - February 11, 2021 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company") is researching the potential development of a radio based computer vision system to be guided by AI for cardiovascular applications. This is the first phase of the research to evaluate an autonomous arterial clog cleaning mini-probe. A typical computer vision system has the ability to recognize objects via a camera's imaging which is combined with a computer vision algorithm to process and interpret the image's data. GBT is researching to the potential design of a new approach vision system, which would be radio based. When a transmitted electromagnetic wave (radio wave) encounters a change in medium, some or all of it may propagate into the new medium and the remainder is reflected.
Read this news, featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2021/02111Cardiovascular-Applications.asp
The part that enters the new medium is called the
transmitted wave and the other the reflected wave. The probe will include an
on-board radio transmits and receive (transceiver) system. The design
contemplates the probe transmitting and receiving radio waves and a neural
network program used to analyze this data to construct a 3D image of the
probe's environment as it moves within arteries. The research is considering an
AI system that will detect and identify clogs within arteries, alerting and
proposing removal methods. The expected advantage of using radio waves is the
capability to penetrate through blood medium, which has poor visibility for a
camera-based computer vision system. In addition, it is envisioned that the
radio vision will enable to "see" through clogging plaque, measuring
its length, width, and type. When cleaning an arterial plaque, it is crucial to
clearly identify the artery's wall and harming plaque to avoid damage to the
artery walls, making a clear distinction for safe clogs removal. The research
is aiming to use of an intravenous mini-capsule unit that could autonomously
travel within an artery, searching for clogs including total occlusions. In
addition, radio waves technology will be evaluated to perform a
"look-ahead" function that can be of a major assistance in curled
arteries cases which are major challenge in the cardiovascular domain. It is
expected that an AI based program will perform the necessary calculation to
produce a clear image of the clog and its nature. The research will then
evaluate whether this information will be used for the further cleaning stage
which the system will be carefully removing the clog. In case of a total
occlusion, it is envisioned that a clog-drilling option will be evaluated to
insert a coronary stent, which is a tube-shaped device placed in the coronary
arteries that enables supply blood, keeping the arteries open in the treatment
of coronary disease. [*] The system is aimed to offer a capability to be manually
remote controlled by physicians or to autonomously operated inside blood
vessels. It is intended that an advanced, miniature circuitry with an embedded
software will control the unit's operations. The first phase of the research
will be focused on a radio-based computer vision system in order to define one
of the most important system's features which is the capsule navigation through
blood medium, clogs identification and its distinct, safe removal. We believe
that such system can replace invasive procedures like angiogram,
catheterization, and heart-bypass surgery.
The following video will demonstrate the suggested
autonomous arterial clog cleaning mini-probe:
There is no guarantee that the Company will be
successful in researching, developing or implementing this system. In order to
successfully implement this system, the Company will need to raise adequate
capital to support its research and, if successfully researched, developed and
granted regulatory approval, the Company would need to enter into a strategic
relationship with a third party that has experience in manufacturing, selling
and distributing this product. There is no guarantee that the Company will be
successful in any or all of these critical steps.
We start with probably what is the most important
feature of this research, which is the computer vision system. Machine vision
has come of age for the past decades enabling wide variety of advanced applications
in various domains. Typically, a machine vision system uses a camera to view an
image, and a computer vision algorithm to process and interpret the image's
data. Inside a human's artery there is no sufficient visibility for such a
system due to the blood medium composition, and therefore a different approach
is being considered; a radio-based vision system. Radio waves have the
capability to pass through materials, and reflecting back waves data. Using
this type of technology, we will be evaluating whether it can be used to
determine the construction of an inner artery imaging, including clogs and
their information. We believe electromagnetic waves can pass through the blood,
identify organs like heart's valves, artery vessel walls, and clogs. Using
radio technology, we are researching whether the system will be able construct
a complete image of the inner artery, as the miniature probe is moving within
the blood vessel. One of the main advantages of such a system is its capability
to identify total occlusion and measure its length inside the artery.
Furthermore, this type of "Look-Ahead" system can accurately identify
and measure such a clog even in curled arteries which is typically a major
challenge in the cardiovascular domain. The image is expected to be shown on an
external computer monitor for a physician review before taking any action. The
research will evaluate artery's cleaning options upon clogs detection in future
research phase. The radio system will enable an efficient navigation within
arteries, avoiding damaging artery's walls, identifying clogs, providing clog's
size, length, and shape. Using an AI program, a comprehensive, 3D views of
capsule's surroundings will be provided on a computer monitor while traveling
inside the artery. The radio-based vision system is aimed to cover a wide range
of situations where visible-medium imaging fails, enabling clear imaging in
real time. We strongly believe that such a system, if fully developed, can have
a huge potential for further health related applications, inside and outside a
human body, to provide preventative medicine and replace invasive medical
procedures and surgeries.
About Us
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.
Forward-Looking Statements
Certain statements contained in this press release
may constitute "forward-looking statements". Forward-looking
statements provide current expectations of future events based on certain
assumptions and include any statement that does not directly relate to any
historical or current fact. Actual results may differ materially from those
indicated by such forward-looking statements as a result of various important
factors as disclosed in our filings with the Securities and Exchange Commission
located at their website (http://www.sec.gov). In addition to these factors,
actual future performance, outcomes, and results may differ materially because
of more general factors including (without limitation) general industry and
market conditions and growth rates, economic conditions, governmental and
public policy changes, the Company's ability to raise capital on acceptable
terms, if at all, the Company's successful development of its products and the
integration into its existing products and the commercial acceptance of the
Company's products. The forward-looking statements included in this press
release represent the Company's views as of the date of this press release and
these views could change. However, while the Company may elect to update these
forward-looking statements at some point in the future, the Company
specifically disclaims any obligation to do so. These forward-looking
statements should not be relied upon as representing the Company's views as of
any date subsequent to the date of the press release.
Contact:
Dr. Danny Rittman, CTO
press@gopherprotocol.com
GBT Technologies
Inc. (OTCQB:GTCH) is a featured tech stock on
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