For women, the dreaded mammary exam is one of the most harrowing medical exams to go through, and with good cause too. Sometimes it can be a hit-and-miss affair for them, but that is about to change for the better. By using machine AI or a computer program that will spot cancerous growth, that might be breast cancer. The advantage of this method will allow early detection, which is more accurate than any human doctor can get.
Cancer is a killer that afflicts many women and is a silent killer that is painful and awful for women to go through. This secret weapon of doctors might help them stave off more than 2 million cases of breast cancer each year. Tools like machine AI helps to narrow the chances of getting a wrong diagnosis of women undergoing mammary exams.
Preventive examination for breast cancer is best done by detecting the most obvious signs of possible breast cancer. But, sometimes even without the signs, it can still pop up without warning. More than often this happens and the most thorough exams give a negative result.
It is not breast cancer that kills women, it is the problem of finding the most effective methods to detect it. If the cancerous growth is detected early something can be about it. Tragically, despite the advances in medical science breast cancer is often fatal for women.
Statistics in the UK, encourage most women above fifty-year-old to get a mammogram every three-year interval. One the mammogram is accomplished the result should be looked over two experts in the field. But, mammogram readers might not spot a potential tumor, even if there are two of them.
Reading these mammograms has two possible outcomes that will mean life or death for the patient. One is false positive which means a healthy female has no cancer but is told they have it. Now, it gets worse if a false negative comes out, they find out a tumor has gone undetected. False negatives are serious and should not be taken lightly.
To help deal with inaccurate reading, Google Health experts taught a machine AI to find a positive breast cancer scan of women from the US and UK. Before this, the mammogram result was seen by experts who gave an opinion. Despite the lack of experience when machine AI and clinical expertise, the AI gave the same accuracy and opinion as a radiographer.
One happy result was a lower number of false positives, that had less positive cancer cases from 5.7% in the US, or 1.2% in the UK. The problem of missed diagnosis was less than 9.4% American and less than 2.7% Britons of the patient in both countries. Detecting of false-negative gives the sufferer a better chance of staving off breast cancer with precise cancer detection too.
As shown by Dominic King of Google Health, the hard part is catching cancer before it gets worse. Not now because, the use of Google AI made the difference that will save lives. Supportive technology and promoting women's health is the best diagnostics. There is now a computer to counter-check human cancer specialists.
Using Machine AI is less laborious and breast cancer scanning is more accurate by far too. Another is the cost of an expert opinion that will not come cheap at all. Combing the three readers, including the AI will avoid making the wrong reading that might cost the female patients' life.
Related Article: AI Is Now Officially Better at Diagnosing Breast Cancer Than Human Experts
