Artificial Intelligence And Its 100% Accuracy In Heart Failure Detection Using AI Smart Algorithm
Screenshot of my latest c-blog Artificial Intelligence and it's 100% Accuracy In Heat Failure Detection Using AI Smart Algorithm - prepared by Zille for bitLanders
Video credits via YouTube - Detection Of Congenital Heart Disease Using Artificial Intelligence
How can Artificial Intelligence aid with the medical department in producing a 100% accuracy in heart failure detection to save lives? Can artificial intelligence through machine learning and data analysis give a more accurate result with less time using the most advanced technology to detect early signs of congenital heart failure?
A congenital heart defect (CHD), also known as a congenital heart anomaly and congenital heart disease, is a defect in the structure of the heart or great vessels that is present at birth. Signs and symptoms depend on the specific type of defect. Symptoms can vary from none to life-threatening. When present, symptoms may include rapid breathing, bluish skin (cyanosis), poor weight gain, and feeling tired. CHD does not cause chest pain. Most congenital heart defects are not associated with other diseases. A complication of CHD is heart failure
We must say that artificial intelligence has a lot of benefits, and the business sector is taking advantage of this. Through mobile banking and finances, simplified application and our daily lives were drastically changing, all thanks to Artificial Intelligence, deep machine learning, smart system algorithms, and massive data collection. All of which play a significant role in making everything at hand. Controlled and simplified.
Eko continuously develop devices for accurate detection of congenital heart disease through smart devices using Artificial Intelligence algorithm, analyze results based on data collected over time - Image credit via Aithority
But is artificial intelligence intelligent enough to be trusted with medical research and possible yet accurate detection of congenital heart failure? we all know the risk involved when we heard certain illnesses, and one of that is something to do with the most important organ of the body (aside from the brain and other organs that are continuously working--and should not stop lest we are in great danger, even death).
Heart failure (HF), also known as congestive heart failure (CHF) and congestive cardiac failure (CCF), is when the heart is unable to pump sufficiently to maintain blood flow to meet the body's needs. Signs and symptoms of heart failure commonly include shortness of breath, excessive tiredness, and leg swelling. The shortness of breath is usually worse with exercise or while lying down, and may wake the person at night. A limited ability to exercise is also a common feature. Chest pain, including angina, does not typically occur due to heart failure.
AI smart algorithm to accurately detect congenital heart failure and heart murmur with advance technology - Image credit via biospectrum.asia
Accurate Detection Of Congenital Heart Failure Through AI Technology
One of the advancements of technology through artificial intelligence in today's world is the accuracy in heart failure detection using an AI-driven neural system to detect this with a single heartbeat. This is another breakthrough for today's innovation when it comes to health services.
Common causes of heart failure include coronary artery disease, including a previous myocardial infarction (heart attack), high blood pressure, atrial fibrillation, valvular heart disease, excess alcohol use, infection, and cardiomyopathy of an unknown cause. These cause heart failure by changing either the structure or the function of the heart. The two types of left ventricular heart failure – heart failure with reduced ejection fraction (HFrEF), and heart failure with preserved ejection fraction (HFpEF) – are based on whether the ability of the left ventricle to contract, or to relax, is affected.
Imagine how we can take advantage of how machine learning and a smart algorithm, use the massive data collection and analyze them to study even a single heartbeat and expect results faster than before. This is possible as Artificial Intelligence can now easily and accurately examine data from heart examinations like electrocardiogram or ECG.
The medical department and the use of AI, machine learning, smart algorithm, and data analysis - image credit via lavozdettajo.com
With this new technology and system in detecting possible congenital heart failure, surely it would be beneficial not just for medical and health providers but for patients and affected people around the world. We can increase the mortality rate and provide adequate and sustainable health procedures to save lives.
The fear and worrisome of most people, when diagnosed with any congenital heart disease, become a thing in the past. We can now safely say that technology is doing a great job to save humanity. With the use of convolutional neural networks or also known as CNN, this provides an effective and accurate diagnosis with the pattern from all the data that are collected and analyzed by the system itself.
Artificial Intelligence And Accurate Detection Of Congenital Heart Disease - Image credit via the British Heart Foundation
We all know how Artificial Intelligence works and how fast it can provide results that are better than the existing manual method. With AI working in the background, the detection of any congenital heart failure is accurate and faster base on the data collected from the behavior of the heart that is being diagnosed.
Video credits via YouTube - Eko And Its Digital Stethoscope To Detect Pediatric Heart Murmur
Though the application of Artificial Intelligence through neuroscience provides the healthcare a dynamic breakthrough for both practices and clinical study. We will surely hope that this will take into practice sooner than later to save more lives affected by any congenital heart failure through early detection from affected patients.
The severity of the heart failure is graded by the severity of symptoms with exercise. Heart failure is not the same as heart attack (in which part of the heart muscle dies) or cardiac arrest (in which blood flow stops altogether). Other diseases that may have symptoms similar to heart failure include obesity, kidney failure, liver problems, anemia, and thyroid disease. Diagnosis is based on symptoms, physical findings, and echocardiography. Blood tests, electrocardiography, and chest radiography may be useful to determine the underlying cause.
Artificial Intelligence to Detect Murmur For Pediatric Cardiologist And Its Accuracy
Artificial Intelligence And smart Algorithm with accurate detection of congenital heart disease such as heart murmur by analyzing collected data - Image credit via Startup News
When it comes to detecting congenital heart diseases, one of the most common misleading diagnoses is a heart murmur. This allows the pediatrician to give this diagnosis under further evaluation from a specialist. It causes worry most especially for parents and hopes that the diagnosis turns out to be negative. But until further checkups, you cannot guarantee results. All we can do is wait and pray that it is just a normal sound from our baby's little heart.
With Artificial Intelligence and AI-powered devices, the accuracy level of detecting pediatric murmur has been diagnosed properly. Interact with me on my latest c-blog about Artificial Intelligence and its 100% accuracy in heart failure detection using Ai smart algorithm and pediatric murmur.
Artificial Intelligence an Its 100% Accuracy In Heart Failure Detection Using AI Smart Algorithm - Querlo chat powered by Querlo.com - prepared by Zille for bitLanders click here for fullscreen
On a final thought:
There are always benefits when it comes to technology that must be implemented sooner than later, especially with machines and devices that can help detect congenital heart failure and saves as many lives from affected people around the globe. We can surely see stunning results if we will push through with all of this advanced technology. Whether it's congenital heart disease, murmur and anything related to these illnesses, let's hope for the best always.
bitLanders AI-themed blogging
After the successful launch of "The bitLanders C-blogging", conversational AI blogging by Querlo powered by IBM Watson and Microsoft Azure. bitLanders continues to support its joint venture Querlo. We believe in our mission to promote our future - Artificial Intelligence (AI) - and build AI conversations via blogging, here we are to introduce "bitLanders AI-themed blogging!"
The images, videos, and links embedded in this blog post have been credited properly and for educational use only.