Artificial intelligence technology to diagnose Covid-19 through X-rays may help reduce hospital pressure, researchers believe. This technology was developed by the University of the West of Scotland.
The goal is to quickly diagnose Covid-19 directly from X-ray images. Not only this, but this technology also helps in diagnosing various lung diseases like tuberculosis and pneumonia. Researchers are still trying to make it more effective for cancers. It is an efficient program that can quickly diagnose the disease in just a few minutes with an accuracy of about 98%. Professor Naeem Ramadan stated that this type of technology is proving to be very important to busy medical teams around the world.
Latest updates from Scotland
Currently, tuberculosis and pneumonia require a combination of CT scans, X-rays, blood tests and ultrasound to diagnose the disease. Undoubtedly, conducting these tests requires a lot of time and money. Speaking to BBC Scotland, Professor Ramzan told BBC Scotland that a diagnosis could normally take weeks, depending on the availability of a radiologist. However, the advent of technology has made it easier to diagnose the disease in less time. Therefore, doctors can treat this disease as soon as possible. The technology uses X-rays and later compares them to a database scan of thousands of images of patients with covid, tuberculosis and pneumonia.
A Real Vision
Researchers are trying to use this technology using X-rays to diagnose other diseases such as cancer. The detection was done using a technique called deep convolutional neural network based on an algorithm commonly used for image analysis and detection. However, X-ray technology is a relatively inexpensive and readily available diagnostic tool. Professor Ramadan is currently using it to diagnose various diseases including pneumonia, covid-19 and tuberculosis. Recent advances in artificial intelligence have made automated diagnosis using chest X-ray scans a realistic prospect in medical settings, he added. New technology may take some time to become available to everyone, since from the early stages to the stages of it being cost effective, cheaper and efficient as well as being available to the public might take some time.
In addition, Professor Ramadan said, we would like to publish it worldwide and make it freely available to anyone, whether anyone can use it in the NHS or abroad. This technology is still operational for detecting covid-19 in some rural areas of Pakistan.
Artificial intelligence technology to diagnose Covid-19 through X-rays may help reduce hospital pressure, researchers believe. This technology was developed by the University of the West of Scotland.
The goal is to quickly diagnose Covid-19 directly from X-ray images. Not only this, but this technology also helps in diagnosing various lung diseases like tuberculosis and pneumonia. Researchers are still trying to make it more effective for cancers. It is an efficient program that can quickly diagnose the disease in just a few minutes with an accuracy of about 98%. Professor Naeem Ramadan stated that this type of technology is proving to be very important to busy medical teams around the world.
Latest updates from Scotland
Currently, tuberculosis and pneumonia require a combination of CT scans, X-rays, blood tests and ultrasound to diagnose the disease. Undoubtedly, conducting these tests requires a lot of time and money. Speaking to BBC Scotland, Professor Ramzan told BBC Scotland that a diagnosis could normally take weeks, depending on the availability of a radiologist. However, the advent of technology has made it easier to diagnose the disease in less time. Therefore, doctors can treat this disease as soon as possible. The technology uses X-rays and later compares them to a database scan of thousands of images of patients with covid, tuberculosis and pneumonia.
Researchers are trying to use this technology using X-rays to diagnose other diseases such as cancer. The detection was done using a technique called deep convolutional neural network based on an algorithm commonly used for image analysis and detection. However, X-ray technology is a relatively inexpensive and readily available diagnostic tool. Professor Ramadan is currently using it to diagnose various diseases including pneumonia, covid-19 and tuberculosis. Recent advances in artificial intelligence have made automated diagnosis using chest X-ray scans a realistic prospect in medical settings, he added. New technology may take some time to become available to everyone.
In addition, Professor Ramadan said, we would like to publish it worldwide and make it freely available to anyone, whether anyone can use it in the NHS or abroad. This technology is still operational for detecting covid-19 in some rural areas of Pakistan.
In conclusion to the reports, it’s clear that AI can be a great help in discerning and diagnosing patients in the hospitals which will obviously reduce the pressure on the medical staff in the hospitals.
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