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THIS IS THE FUTURE OF HEALTHCARE

Using advanced artificial intelligence technology, Imaging Tech works to immediately spot abnormalities that a radiologist could just as easily miss when reviewing imagery. Not only does it enhance your view, but it can also enhance the level of care and treatment that patients receive as a result.

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What we offer

We offer an AI platform based on some of the newest capabilities enabled by deep learning techniques, using AI and ML, to radiology clinics and hospitals: a healthcare-grade AI-based decision support software for detecting injuries and abnormalities in medical imaging and radiology. This smart software will be used to help diagnose abnormalities in different parts of the human body based on radiological image analysis.

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An increasing number of repetitive tasks will be automated over time.

Communication System (PACS) of all hospitals contains large imaging datasets with matching descriptions within radiology reports that can be AI-detected and used to perform ML on a very large scale. The interactions between radiology images and their reports have been used to train ML for automated detection of disease in images.

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Cost-effective research

AI research on data exports or even open source data costs considerably less than traditional imaging research involving patient recruitment, research coordinators, and prospective scanning, especially for laborious tasks prone to human error, such as detection of lung nodules on x-rays or bone metastases on CT.

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Time saved for critical cases.

Patients with critical conditions will be prioritized in the queue to and can receive the urgent care they need immediately. Currently, a smaller number of radiologists than patient demand implies a considerable amount of time for radiologists to review large quantities of scans. This could be life-threatening for patients with critical conditions who need immediate attention

what we are working on

Diagnosis of COVID-19 abnormalities

To initiate the development of Imaging-Tech Output products, a medical abnormality should be selected to collect the desired dataset to identify that abnormality and develop the artificial intelligence algorithm. According to the Covid-19 pandemic, we decided to detect the abnormalities of this disease in high priority.

The Imaging-Tech system can identify QUID 19 patients with an accuracy of about 80% by examining CT images of the lungs. Work is still underway to increase the accuracy of this system.

New feature

Diagnosis of Cerebral infarction and hemorrhage

Interruption of blood flow through an intracranial artery leads to deprivation of oxygen and glucose in the supplied vascular territory. This initiates a cascade of events at a cellular level which, if circulation is not re-established in time, will lead to cell death. There are two main causes of stroke: a blocked artery (ischemic stroke) or leaking or bursting of a blood vessel (hemorrhagic stroke). Recently, we have done research in this area and started collecting brain scan images of different patients to prepare our desired database.

We hope that stroke diagnosis based on brain CT scan analysis will be added to the Imaging-Tech system soon.

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Products and Services

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Medical centers where the Talking system is operating on a trial basis

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Please contact us with your inquiry.

For all radiologists, we are happy to provide an online demo with our team experts when our product gets ready.

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