Artificial intelligence has become firmly established in every aspect of our lives. We know this technology mostly from its aggressive attitudes. However, this time there was a ray of hope for cancer patients. AI could be almost twice as accurate as biopsies at assessing the aggressiveness of some rare types of cancer, a new study suggests. According to researchers, this could save the lives of thousands of patients. Here are the details..
Artificial intelligence studies will be a ray of hope for cancer patients!
A research team from the Royal Marsden NHS Foundation Trust and the Institute of Cancer Research (ICR) has carried out a study that will bring hope to cancer patients. The researchers focused on a type of soft tissue sarcoma that develops in the back of the abdomen.
So what is sarcoma? Sarcoma is the general nomenclature for a large group of cancers that begin in bones or soft tissue. Soft tissue sarcoma forms in the tissues that connect and surround other parts of the body. So what are these tissues? These tissues consist of muscle, fat, blood vessels, nerves, tendons and joints.
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The first author of the study is Dr. Amani Arthur, “There is an urgent need to improve the diagnosis and treatment of patients with retroperitoneal sarcoma, whose outcomes are currently poor. The disease is very rare. So oncologists may only see one or two cases during their career. This means diagnosis can be slow. This type of sarcoma is also very difficult to treat. Because it can reach large sizes. “Due to the location of the tumor in the abdomen, it may require a complex surgery.” said.
Researchers rolled up their sleeves to develop an artificial intelligence algorithm. To train this model, the researchers used CT scans of 170 patients suffering from the two most common types of sarcoma. He then tested the algorithm on a group of 89 patients across Europe and the United States.
The algorithm has achieved great success. While the AI algorithm correctly assessed the aggressiveness of tumors 82% of the time, biopsies were accurate in only 44% of cases. Additionally, the AI model was able to predict the type of 84% of the sarcomas tested.
Researchers believe that AI studies will not only improve and speed up diagnosis. However, he thinks it will also help doctors manage the disease and its consequences. For example, this algorithm can distinguish between high-risk patients and low-risk patients who need enhanced treatment. In this way, it can reduce hospital visits.