More than anything...migrating imaging from an interpretive discipline to a true data science opens an entire eco-system for physiological studies and applications. The premise is to enable AI and Machine processing to query the millions of known and unknown data points, captured in the original scan (a true digital twin), in identifying values that correspond to specific conditions.
First Phase - Cataloging repositories of scans for study and research.
This phase will reveal all data values in the scan series so they can be compiled into spatial data sets.
Scientists, researchers and technicians can then assign known values to specific conditions as well as uncovering those that are not.
Currently the discipline relies on the human eye to detect these values, which can, in many cases, be microscopic in size.
Although a technician may be able to identify a single value of interest in the subject area's scan, it would be virtually impossible to locate them all. Many are so small they get missed or overlooked.
Scans compiled into GeminiDT's spatial data sets utilizing AI and Machine processing, will enable all values contained in theses data sets to be identified. Therefore, opening the possibilities of early detection that can lead to mitigation and pre-condition therapies.
Once 2d scan slices in a series are compiled into spatial data repositories this opens a basis for true data science principals to be applied to human physiology.
Below is a significant use case for this new technique focusing on brain cancer.
How can this be applied.
These are some of the initial use cases that can literally save lives and have an immediate impact on humanity.
Coronary Heart Disease
Coronary heart disease is a common term for the buildup of plaque in the heart’s arteries that could lead to heart attack. It is caused by the buildup of plaque, a waxy substance, inside the coronary arteries.
Spatial technology could identify coronary artery plaque. From the earliest stage to advanced diagnosis.
Being noninvasive and without contrast agents, tests can be ordered routinely.
With over 3 million cases of CAD per year, the impact alone in the U.S. could be significant.
Additionally values can be identified for pre conditions of stroke. Blocks or leaks can be detected early while there's time to do something about them.
Again, no contrast agents needs to be administered, which can skew or obscure anomalies. This also keeps the costs and risks down which allows the physician to order these much need tests routinely.
Oncology is a branch of science that deals with tumours and cancers. The word “onco” means bulk, mass, or tumor while “-logy” means study.
The holy grail is early detection.
GeminiDT's spatial technology will enable ALL these known values/masses in the subject area scan to be located and quantified. Even the minutest single value can be located and identified.
These can be accurately returned to the radiologist for diagnosis.
Once a known value has been located, GDT's spatial data system leverages AI for predictive analysis.
Once known values are cataloged into spatial data sets, they can be used for medical applications.
In emergency medicine the ability to scan and return, then compare will, one day, be in the ER as a standard protocol. This can be deployed anywhere treatment of mankind is needed.
The impact on the ER of the future will be significant not only in quality of care, but also function as a catalyst to develop new and accurate therapies.
Imagine being able to detect internal bleeding progressions from a cerebral contusion.
The benefits are boundless.
Remote and Mixed Reality Surgery and Medicine
A true digital twin of the subject in real time is that basis for the fruition and propagation of this medical area.
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