Ways AI Helps Transform Cardiac Healthcare

Ways AI Helps Transform Cardiac Healthcare

Artificial Intelligence is getting popular and more practical with each passing day.  But alongside it’s benefits, it is also getting wiser. One of the instances of AI being progressive is an AI designed by UK researchers The AI was able to detect health disease even before doctors. The researchers created a prototype for coronary artery disease with the help of AI along with a combination of 600 other variables.

Transform Cardiac Healthcare

AI research is emerging and has a lot of scopes, but the studies up until now have established, how AI could be helpful in revolutionizing cardiac care. This revolution is very important to emphasize on cardiac health as it is persistently responsible for 31% of global deaths.  Moreover, it is quite expensive health condition to cure.

However, with AI, there is a lot of scopes to detect and treat cardiovascular diseases.

1. Diagnosis using AI

Diagnose a cardiovascular disease is one of the important steps in order to start the treatment. Diagnostic happens in three stages:

  • Measuring an electrocardiogram at rest: The First step is to check ECG at rest.
  • If there are any irregularities at this point, it leads to a set of semi-invasive tests like stress echocardiography, ECG stress test, and Chest CT scan.
  • Anomalies in these tests lead further to an invasive angiography.

With the development in AI technology, researchers are getting to use AI to detect anomalies or irregularities fast, cheap & precisely without moving forward to the third step.

Cardiology’s AI-powered platform is CE Tested, and FDA approved. It uses electrocardiogram data to detect atrial fibrillation, a rare heart condition.  It detects the condition with 91% accuracy.  Also, an AI is developed by a panel of researchers headed by Dr Partho Sengupta, which could detect diastolic dysfunction in patients from 2D cardiac ultrasound images.

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2. Therapy session using AI

One of the difficulties for hospital systems, cardiologists, patients and their families is to detect the risk and cost of care pathways suggested by the cardiologists. One of the machine learning platforms, KenSci supposedly utilizes machine learning to foresee the risk of a patient obtaining diseases, heart disease included. Healthcheck is a chatbot designed by Babylon Health which works on AI and provides patients a quick analysis and comprehends their health issues. Another one of the AI-powered lab, Corti Labs utilizes AI to detect out-of-hospital cardiac arrests and aid emergency dispatchers in making serious life-saving decisions.

3. Cardiac Imaging with help of AI

Artificial Intelligence is augmenting the live visual representation of the heart, using color coding for different heart chambers in real-time instead of low-resolution grayscale echocardiography images. AI technology has been made available only a few years back and has been improving the proficiency of clinical workflow for both radiologists & cardiologists.

Some of the examples of AI progressing are AI named HeartMode by Philips’ echocardiography. This technology helps create a 3D model of a patient’s heart from echocardiography images.

Another example of AI is Arterys’ AI-powered Cardiac MR Suite which is FDA 510(k) authorized and permits cardiologists to observe the patient’s heart in 4D. The technique uses color coding of the blood flow in the heart in real-time with the help of magnetic resonance imaging (MRI) images.

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4. Continuous Monitoring Using AI

A lot of wearable devices like Fitbit, MI band and Apple Watch which keeps a close look on the user’s heart rate, location and activities is a good stage to build AI tools which can anticipate symptoms of lifestyle diseases such as cardiovascular dissimilarities. One of the examples of using wearable to build AI is Cardiogram’s DeepHeart, which functions with Apple Watch. It is semi-supervised Artificial Intelligence learning for predicting cardiovascular risks. With AI using definitive wearable devices like Apple Watch, and it will improvise and become more reliable.

Srishti Sisodia is a technical content journalist at Systweak Software. Apart from being a capable engineer, her affinity for inscription draws her towards writing interesting content about contemporary technologies and progressions. She is an avid reader and a fare connoisseur. She relishes different cuisines and when it comes to baking, she takes the cake!

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