Using Predictive Artificial Intelligence for the future of Healthcare
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Artificial Intelligence (A.I) is used in all the sectors for improvement and better outcome. For example NASA used Google AI to find new planets in the galaxy. This has become a news for the world.
Would like to give you a brief introduction on AI on healthcare. Using AI in healthcare will reduce the complications which come into existence when a person goes through an surgery and also can give him best possible information depending or diet to not have a surgery. We could balance the ethics and efficiency of the healthcare industry. By using AI, points which are overlooked or missed in urgency can be taken care at the primary level than at a critical level.
Since I came across an health emergency in my family, so thought how I can use AI to contribute in healthcare. I determined the best possible match of Kidney Transplantation, started reading the information present around me to find out the information related to these organs. In my findings I found out that each have many complications can also lead to death of an individual.
Transplant option would be thought of when the kidneys stop functioning entirely. This condition is called end-stage renal disease (ESRD) or end-stage kidney disease (ESKD). If you reach this point, your doctor is likely to recommend dialysis.
In addition to the dialysis, your doctor will inform you whether you are a good candidate for kidney transplant. You will need to be healthy enough to have major surgery and go through a strict, lifelong medication after surgery to be a good candidate for a transplant. You must also be willing and able to follow all instructions from your doctor and take your medications regularly.
If your doctor thinks you’re good candidate for a transplant, and you’re interested in the procedure, you’ll need to be evaluated at a transplant center. This examination usually involves several visits to the hospital to assess your physical, psychological and familial condition. The doctors will run tests on your blood and urine and give you a complete information to ensure you’re healthy enough for surgery.
The Matching Process
At the time of evaluation for transplant, blood tests would be conducted to determine your blood type (A, B, AB, or O) and your human leukocyte antigen (HLA). HLA is a group of antigens which is located on the surface of your white blood cells, they are responsible for your body’s immune response. If donor and your HLA type matches, then your body will not reject the kidney. Each person has six antigens, three from each biological parent. The more antigens matches you have with the donor, the greater the chance of a successful transplant.
Once a best possible donor has been identified, another test has to be take up to ensure sure that your antibodies won’t attack the donor’s organ. This is done by mixing a small amount of your blood with the donor’s blood.
The transplant can’t be taken up if your blood forms any antibodies in response to the donor’s blood. If the blood shows no antibody reaction which is called “negative crossmatch”, i.e. transplant can proceed.
During this process, we take the old data related to this and train our engine.
So how does the engine work?
Engine works but connecting all the hospital present around that town/city/country, it will recognise the best possible chances of the success. We get to know this from the data present with us from the old cases. Our engine reads the information and gets best possible procedure to go ahead. For a simple example, a person in a certain city will be in need to transplantation and he does get suitable match. There is one more person in another city with the same problem. The donor who is ready for that person matches with this person1 and donor of person1 matches with person2. We can plan the best possible match and provide the information to concerned person such that a best possible help will be provided to patients who are in the hospital. The algo helps doctors to get to know the
complication which many come to a person while undergoing the procedure such that a solution can be ready while the process is going on. This will reduced the risk of the patients who undergo major operations.
So we are looking forward to work on this and make it a best scenario for showing the capabilities of the AI engine which will increase the life expectancy of a human being.