#AI #Health Breaking News: GBT (OTCPINK: $GTCH)
is Developing an AI Based Graphics Analytics System; #Artificialintelligence
SAN DIEGO - December 22, 2020 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), is developing an AI based graphic analytics system, targeted for medical imaging. As part of the company's plan to move forward towards the medical analytics field, we started research and development activities to seek and improve detection of diseases and symptoms using computer vision analysis.
Read this news,
featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2020/12221AI-Graphics-Analytics.asp
The
efforts are invested into AI applications to detect and interpret medical
images, like MRI, X-Ray, CT, PET and Ultrasound, with the goal of helping
guiding physicians in capturing possible issues within scans of human organs.
The project's internal name is "Imaging Predictive Analytics" (IPA)
and it targets to analyze, alert and predict potential issues based on
graphical data. We are focusing on getting the most value of our AI analytics
power for images and scans of high resolution. The project is targeting the
development of analysis technologies that can be used for biomedical purposes.
For example, the aim of the IPA system is to be an added system to assist
physicians with real time ultrasound scan to alert of potential suspicious
findings that may be too small or unclear for the human eye. Another potential
implementation would be to analyze MRI, CT and PET images to search and alert
physicians for abnormalities. Medical images include high resolution data and
the IPA system aims to automate the detection of abnormalities in
commonly-ordered imaging in order to lead to quicker decision-making with the
goal of reducing diagnostic errors in a wide variety of medical fields. One of
these potential implementations is the cardiovascular field. Analyzing images
to measure various structures of the heart can reveal risks for onset
cardiovascular diseases or identify other abnormalities that may need to be
addressed through surgery or medications. Another field is the respiratory
area. This domain requires fast medical response in order to assist with
respiratory therapy for patients with cardiopulmonary (heart/lung) illnesses
and breathing difficulties, for example pneumonia and pneumothorax (Collapsed
lung). It is our goal to use the IPA artificial intelligence based algorithms
to provide for quick imaging analysis pointing physicians to provide the necessary
treatment. The system is designed to incorporate deep learning methods and
concepts that were initially developed within the company's Avant!-AI and
Hipocrates system.
"According
to our R&D plans 2021, we are moving forward to develop more advanced AI
systems for the medical domain. Today's medical imaging consists of ultra high
resolution scans that include numerous details. We started the development of
our Imaging Predicting Analytics system, internal code name IPA, which we
believe will be especially useful if fully developed when quick response is
necessary. For example, in case of cardiovascular or respiratory conditions, a
rapid imaging analytics may save lives by quickly finding anomalies that may be
urgently addressed. The system is planned to have 2D and 3D simulation
including rotations, cross sections and mapping. We already developed graphic
analytics techniques within our Avant! AI system and now plan to further
develop advanced deep learning imaging algorithms to analyze modern images of
CT, MRI, X-RAY, PET and Ultrasound. We believe we will be able to target the
system to assess images for evidence of abnormalities and alert providers to
the potential diagnoses, with the goal of pointing subjects-of-interest to
physicians, enabling faster treatment. The system is planned to use AI
algorithms to learn the image parameters and train a neural network for pixels
recognition and analytics. We intend for the the system to provide risk scores
for areas of concern. We target to improve diagnostic's accuracy and
potentially alert for risky factors, eliminating unnecessary tests and benign
biopsies. We believe that medical imaging data is one of the richest sources of
information, and one of the most complex ones. Artificial intelligence science
has already proven to be an efficient assistant for radiologists and health
professionals for the past decade, pursuing faster, more accurate, and
comprehensive patient care. But our challenges are growing exponentially and so
are our needs. 2D data is rapidly moving to 3D form, enabling better
information representation in many medical fields. Today's imaging analytics
complexity requires advanced computerized disciplines and a quantum leap
approach in order to handle vast data, especially when real-time factor has
become crucial. Our goal is to develop native graphic-rich disciplines to
augment image analytics algorithms and flows, enabling better, and more
accurate medicine and diagnostics."
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
GBT Technologies Inc.
Media: press@gopherprotocol.com
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