It will probably never cease to amaze society how advanced technology can be. From creating cures for diseases that were probably once deemed incurable, to the way humans experience each other through social media platforms, technology is extremely vast and beyond advanced. It’s even more surprising that there are technologies out today that can actually predict what diseases your body could experience in the future. Yes, you read that correctly. There is a technology out there that can actually predict if something like your heart will end up falling and if you will experience any type of heart disease.
Day 1: Just Diagnosed with Heart Failure
How Is Heart Failure Detected?
Usually, when you go into the doctor's office stating that you think something is wrong they’ll ask you a bunch of questions starting with “what are your symptoms”.
Once you explain the symptoms and state that you’re experiencing chest pains and all other heart failure symptoms, doctors will ask you about your family history and your medical history. Then they will run a series of tests on you.
These tests are usually blood tests that look to see if there are any signs of diseases that could lead to heart failure, chest x-rays to get an image of how the heart and lungs are looking, cardiac CT scans and more.
If the images and tests show any signs of heart failure, doctors will then proceed to classify how much damage has been done and what stage of heart failure a person may be in.
Then there will be treatment plans, medical prescriptions and a new life plan based on a healthier diet and more exercise if needed.
Who And What Created This New Technology?
So we know how heart failure is detected once in the body, but what's amazing is how technology can predict your potential of getting heart failure off of a small piece of information in your body.
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In October of 2021, it was noted that Mount Sinai researchers Akhil Vaid, MD, and Girish N. Nadkarni, MD had done the unthinkable, they created an artificial-intelligence-based computer algorithm that could predict heart failure in someone based on small changes in the person's body. Not only will this be more beneficial to the many that suffer from heart failure and disease, it will also be more beneficial to the doctors who are licensed to treat them.
When detecting heart failure in the body, doctors and patients go through a series of tests that are time-consuming, intense, complicated and sometimes unavailable.
How This Artificial-Intelligence Based Algorithm Predicts Heart Failure
Now, this algorithm is probably extremely complicated and even more difficult to understand than the regular test right? Well no, it’s actually quite the opposite. This artificial intelligence works by helping the electrocardiogram detect weakness in the heart’s left ventricle and its right ventricle.
Though many doctors try to use ECGs to detect heart failure, they usually have no luck and cannot diagnose heart failure with this type of test due to it not giving an accurate diagnosis of any problems that may be occurring. If any changes in the heart occur in the test when it’s being given, most of them cannot be seen by the human eye.
The artificial-intelligence-based algorithm will help that. It basically fixes what can be seen by detecting patterns and subtle changes in one's heart.
A computer was designed to take data from a patient's electrocardiogram and data from written reports. The computer used the written data to compare it to the electrocardiogram data. It recognizes blood pumping problems on both sides of the heart from waveform data of an ECG test. The goal of this new algorithm is to reduce the cost and amount of time it takes when detecting and diagnosing heart failure.
RELATED: Can You Tell If Your Own Heart Is Failing?
Is It Safe And Will It Even Work?
Since artificial intelligence is just a more thorough analysis of what is already being used, there is no need to worry if it is safe. It’s simply the same test just picking up and using more data.
Though it has not been fully tested on a wider variety of people, it did show 94% accuracy when tested out in the early stages. These two researchers believe that this algorithm will be a useful tool to help doctors all over, diagnose heart failure easier and faster.
