HOW A.I. IS HELPING DETECT DISEASES

Artificial IntelligenceSolutions 

Since the emergence of modern medicine, the disease detection process has undergone many changes. However, it is still a slow and slow job. Sometimes it takes weeks, even months, to diagnose a case.

But all this is changing AI. It is changing the way doctors treat their patients. And the results seem very promising. These can be an invaluable tool for doctors around the world. At a very affordable price at AI & IOT Solutions Agnecy Dubai UAE

SOME EXAMPLES

In 2018, Dr. Marco Topalovic (Ph.D.), from the Catholic University of Leuven, told the interviews that, using A.I. With a good set of data, they have been able to detect lung diseases more accurately and efficiently than any of their residents. Although, through this example, it seems that A.I. It's here to replace the doctors. They are not. They are here to speed up the diagnostic process. And to provide a second reliable opinion to doctors.

According to research by Signify Research, it is estimated that hospitals around the world spend more than $ 2 billion on A.I. by the year 2023.

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And much of that goes to A.I. Medical images AI. Medical images can be a very powerful tool for doctors. In this, a machine learning algorithm (a derivative of AI) receives many reliable and accurate medical data. Training him to recognize unusual cell formations and other abnormalities. This can help doctors by reducing the time needed to detect these unusual forms, thus allowing the doctor to concentrate more on the treatment side of the process. This can also be useful for detecting rare diseases without performing a series of extensive and sometimes painful tests.

On June 12 of last year, the UI Health Care-Iowa River Landing Diabetes and Endocrinology Center in Coralville became the first to use an A.I. Medical based imaging technology developed by IDx. This A.I. The medical imaging system takes pictures of the retina to look for different abnormalities such as hemorrhages, micro aneurysms and many more that one could get from diabetes.

This type of technology is especially useful for the detection of diseases such as cancer, where time can play a very important role. A good example of this is the Optellum startup. Last year, they were in the process of developing an A.I. system to analyze lumps of cells in the lungs, to determine whether they are cancerous or not.

Well, these were some examples where A.I. is or is potentially helping doctors in diagnoses. It is not possible for me to list them all in a blog. But, to paint a slightly larger image, here are some ways that A.I. The medical field is improving.

1) TIME AND MONEY SAVINGS

As stated earlier, these A.I. Systems can accelerate the disease detection process. As a result, freeing up time for doctors to concentrate on the treatment side of the process. This, in turn, can save a lot of money by eliminating the need for several doctors to examine any outcome. Money, which can be used to hire more doctors, personnel, new and improved equipment and much more.

2) SAVING MORE LIVES

When dealing with life-threatening diseases such as cancer or any chronic or even mental illness, time can play a crucial factor. The faster the symptoms are recognized, the more chances of recovery. With tests that sometimes take a long time to be analyzed manually, A.I. It is the perfect solution. By reducing the time needed for diagnosis, diseases can be detected faster. Therefore, help doctors make a better treatment plan.

3) MORE ACCESSIBILITY

With increasingly advanced technology, it is also becoming cheaper. People are working hard to do these A.I. Most affordable diagnostic systems. And with more and more money invested in this type of research, it is much cheaper. So that more and more hospitals can access them. Especially hospitals that are not too developed.

4) RELIABILITY

Almost all A.I. The systems tested so far have proven more accurate than doctors in their respective fields. As for example, the A.I. system called Ultromics, developed by researchers at the John Radcliffe Hospital in Oxford. He was trained to detect heart conditions. And according to the hospital people mentioned above after the test, the system surpassed all of its human counterparts.

Companies like General Electric, which manufactures CT scanners, are now using Intel A.I features to allow the scanning device to process images faster and determine unhealthy features. This software, after undergoing tests, has demonstrated an accuracy rate of 97%.

CONCLUSION

We must adopt technology and reap its benefits. Sure, it can be scary to trust a machine with something like our health, but if we think about it, we put our lives in the hands of technology every day when we leave the house. It is not a very strange concept. 

Now, while A.I has proven to be more efficient, a doctor can always see beyond any test data, detect any minute of anomalies that can save someone's life. Therefore, these A.I systems are not here to replace doctors, they are to help them.