Diagnosis and Monitoring Cardiac Function

Accuracy

Of all the commonly utilized non-invasive clinical imaging modalities, MRI is the most accurate and versatile. However, the tracing of the heart diseases in MRI scans is performed manually which is both time consuming and sensitive to observer variability. DMCF is resolving these two challenges.

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Quickness

MRI can be used to generate geometric, hemodynamic, and compositional information ‎from the Cardiac Function. However, to extract this information, the patterns must be ‎identified and delineated from the images. When performed manually, this is a difficult ‎and time-consuming process and the amount of time required increases with further ‎localization. Our software diagnose cardiovascular diseases in real-time and facilitates the detection of potential pathology in high risk patients.‎

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Analyzing Magnetic Resonance Imaging (MRI) + Machine and Deep Learning = Early Diagnosis and Treatment of Heart Diseases

DMCF is changing the way Heart Pathology is Practiced!

Heart Diseases specially Ischemic Heart Diseases (IHD) research and diagnosis is being redefined by a new technology: a technology that promises of computational methodology to reduce human error and increase time and accuracy efficiency through intelligent analysis of MRI.

Diagnosis and Monitoring Cardiac Function (DMCF)’application is pushing it’s technology past limits of traditional lab methodologies in diagnosis of heart diseases with its digital platform and pipeline of AI application. Developed by a combination of medical advisor and software developers, DMCF is transforming the economics and practice of heart diseases pathology, putting the power of early diagnosis and treatment of cardiovascular diseases using data-centric algorithms through analyzing MRI to help diagnose and monitor heart diseases with accuracy and in real time.

Our Mission

Supporting Heart Diseases Diagnosis and Monitoring using AI (machine and deep learning)

The number of deaths from heart diseases worldwide is staggering—Heart disease is the leading cause of death for men, women, and people of most racial and ethnic groups in the Canada. Our team at DMCF is driven and motivated to help fight these various forms of heart diseases around the world using advanced and innovative software tools for fast and effective early diagnosis and monitoring if cardiac function. We hope to contribute to the fight for eradicating and preventing heart diseases by collaborating with medical professionals and researchers worldwide.

Using Deep Learning (DL) and Machine Learning (ML) platforms, we have developed specialized algorithmic solutions to analyze Magnetic Resonance Imaging (MRI) for pathology for faster and better assessment than human accuracy. Our solutions, which are both in API and Web Platforms, are designed to offer faster and better access for second and third diagnostic opinions by medical professionals to help develop a therapeutic approach quickly. This will help the patients and physicians by reducing anxiety caused by not knowing what they are dealing with and will result in selecting beat treatment method personalized by patient’s situation.

Our solutions do all the work—considers the type of heart disease which the patient is dealing with, identify correlation between heart disease and MRI, discovers patterns and trends through monitoring, and analysis it using various algorithms. It’s a lot but not enough as we work to expand its reach and provide treatment advice for our patient using our platform.

You focus on savings lives, We focus on early diagnosis!

Accessible, Cost Effective and Accurate

Our software has the potential to generate pathology report, as it can be integrated in MRI ‎consoles. Hence, it will give the opportunity to perform pathology assessment not only in ‎more frequent practices, but also in remote places where no experienced observer may be ‎available.

MODERN MEDICAL FACILITIES

Since our platform allows fully automated diagnosis and monitoring of cardiac functions in real-time, a significant amount of time spent by the radiologist to ‎interpret the MRI scans are saved; therefore, the software saves not only time but also ‎money. ‎

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MODERN EQUIPMENT

DMCF uses the power of Artificial Intelligence through using unique deep learning algorithms to diagnose and Monitor Cardiac Functions. Using the power AI, DMCF eliminates human errors such as exhaustion, emotions and etc. Our AI platform is always there to provide a complete and instant report on your patients.

Technologies involved

The technology is based upon the application of AI to advanced imaging modalities using MRI.

We use Neural network architecture is structured in layers comprised of interconnected nodes. Each node of the network executes a weighted sum of the input data subsequently passed to an activation function. Weights are dynamically optimized during the training phase. There are three different layers: the input layer, which receives input data; the output layer, which produces the results of data processing; and the hidden layer(s), which extracts the patterns within the data. A deep learning artificial neural network ( ANN) differs from a single hidden layer by having many hidden layers, which characterize the depth of the network. Among the different deep ANNs, we use convolutional neural networks (CNNs) where convolution operations are used to obtain feature maps in which the intensities of each pixel/voxel are calculated as the sum of each pixel/voxel of the original image and its neighbors, weighted by convolution matrices (also called kernels). Different kernels are applied for specific tasks, such as blurring, sharpening, or edge detection. CNN’s are biologically inspired networks mimicking the behavior of the brain cortex, which contains a complex structure of cells sensitive to small regions of the visual field. The architecture of deep CNNs allows for the composition of complex features (such as shapes) from simpler features (e.g., image intensities) to decode raw image data without detecting specific features.

How our technology works

DMCF Technology is based on Artificial Intelligence using unique machine learning algorithms