The Crucial Role of AI in Early Disease Detection
Introduction
Every day we see a lot of changes and advancement in the world. A lot of things keep changing. I wonder what the near future will be with the rate the world is technologically advancing. Today we see cars using battery and we also see AI taking over the world.
AI is gradually taking over and is doing the work humans should be doing. Many industry today has started using AI to foster a smooth working experience. Others who hasn't started using AI is already considering deploying AI in their workspace. With the use of AI there has been significant changes in the way works are being done and also has reduced the time being used to perform each task. AI is really taking over the world and nothing seems to be stopping it.
Let talk about one of the recent use case of Ai.
Ai has being employed in the health sector for early diseases detection using medical imaging. It is revolutionizing the health space enabling easy and fast medical services. How?
In this article I will be explaining the use of AI in the health space and also how the use Ai in the health space has improved how work is being done and how services are being rendered.
Early disease detection has stand as a challenge in the health space. Thousands if not millions of lives has being lot all due to late disease detection. Doctor and nurses have been trying their best but most times some diseases can't be easily detected. So this is really a problem.
Technology kept advancing and here we have Ai. Ai has changed a lot of things in the health space and can easily detect diseases.
Let's talk about some of the challenges facing our traditional health care method.
Challenges Facing Traditional Healthcare method
There has been a lot of challenges facing our traditional health care method, and some of these challenges has resulted in pains and death of patients. Let's discuss some of this challenges.
- Delay in Diagnosis: Over times there have being delays in traditional method of diagnosis. Delay like late disease identification. Such delay is dangerous and can lead to lost of live as it leads to limited effectiveness available treatments.
Imagine a case where someone is dying and the problem is yet to be found. That person need instant medical attention but unfortunately traditionally diagnosing the patient takes a lot of time. What do you think will happen to the patient? Undoubtedly the patient may be given treatment not due to him or here and such may even lead to death.
Word explained
According to Wikipedia
Diagnosis (pl.: diagnoses) is the identification of the nature and cause of a certain phenomenon. Source
- Resource Intensiveness: Traditional method of diagnosis can be very time consuming and also resource consuming. How?
Many traditional diagnosis today involves manual processing such as conducting physical examination, reviewing medical history and interpreting laboratory results. Such manure approach makes traditional diagnosis time consuming.
Imagine you went to the hospital for test. The demanded for samples, that is you physics, blood, and urine. After which you are being told to return in some hours. Here in my country if it is the one they call Culture Lab you will have to return the next day. So such can be very time consuming and can delay the identification of a medical condition.
Now let's talk about Ai and it early disease detection.
Ai and it Early Disease Detection
As I said earlier, the world keep advancing and many industries today has come to employ Ai for better work experience. Ai has created a significant shift in the landscape of early disease detection. Ai has proven to overcome some of the changes facing traditional method of diagnosis and has significantly improve diagnosis accuracy.
Here are some potential of AI
Enhance Accuracy: Ai algorithm can analyse vast amount of data in a little time. This helps reduce the likelihood of misdiagnose and delay. It improve the overall accuracy of a particular diagnosis.
Through this pattern Ai has brought a change in healthcare and has proven to solve the challenge of late diagnosis facing traditional healthcare.Fast Diagnosis: Unlike traditional method of diagnosis, Ai driven diagnostic procedures are often faster. It can detect sickness and diseases easily. This helps reduce the time between recognizing diseases and initiating treatment.
This has helped save a lot of life and has solve the delay challenge facing traditional healthcare.
Ai is really facilitating the fast identification of diseases and sickness and is driving the health space to a more advanced and transparent space.
In conclusion, Ai has driven healthcare to more advanced state. It has proven to have some of the challenges facing traditional method of diagnosis under control. Ai has enhanced diagnosis accuracy and has improved the speed of diagnosis.
Credit
Thumbnail gotten from Pixabay
Second picture gotten from Pixabay
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