Designed by experts from the Royal Marsden Institution, the Institute of Cancer Research London and Imperial College London, the AI tool can determine if abnormal tumors seen on a CT scan are cancerous.
“In the future, we hope that early detection will make cancer treatment more effective, focusing on high-risk patients and following them quickly with early intervention,” said Benjamin Hunter, oncologist at Royal Marsden. Foundation.
And according to Britain’s ‘Daily Mail’, Hunter’s team used CT scans of around 500 patients with large lung cancer cells, to develop an artificial intelligence algorithm using radiology.
This technology can extract important information from X-ray images that are not easily detected by the human eye.
The model developed by the scientists was tested to see if it could accurately identify precancerous nodes.
The study used a measure called “area under the curve,” or AUC, to see how good the model was at predicting cancer.
A value of 1 on the scale indicates a perfect model, while a number of 0.5 represents a random guess.
The results showed that the AI model could determine the cancer risk for each node with an AUC value of 0.87.
Commenting on the results, the study’s lead researcher, Dr Richard Lee, said: “Through this work, we hope to push the boundaries to accelerate disease detection using innovative technologies such as artificial intelligence.”
Cancer causes around 10 million deaths a year, or nearly one in six deaths worldwide, according to the World Health Organization.
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