What can I do in 20 minutes? For us, 20 minutes allows us to enjoy a delicious breakfast, or take a short break after work. For cancer treatment, 20 minutes is enough to save a patient's life. Recently, a team of researchers from the University of Toronto published a study that developed an artificial intelligence tool that could reduce the time required to develop a cancer radiotherapy program to 20 minutes.
Currently, developing a radiation therapy plan and designing a treatment strategy for each cancer patient can take several days. Because cancer conditions may vary from patient to patient, designing a treatment plan tends to take more time. Fighting cancer is a process that needs to race against time. These times are invaluable to patients because cancer conditions tend to worsen during this time.
Researchers used artificial intelligence techniques to mine historical data on radiation therapy and designed an algorithm to develop and recommend appropriate radiation therapy strategies for patients. To test the treatment plan developed by AI, the researchers applied this AI algorithm to 217 patients with throat cancer who also received conventional methods of radiation therapy. The results showed that the treatment plan developed by the AI ​​algorithm achieved the same therapeutic effect as the conventional one, and the AI ​​developed these algorithms in only 20 minutes. This result is very impressive.
Researchers believe that although artificial intelligence will show a good start in helping patients, it does not mean that experienced doctors and human thinking will not be useful. The treatment plan developed by the algorithm still needs to be verified by the radiotherapy doctors and experts, and the adjustment according to the patient's condition can make the most of its advantages.
“If we can effectively use AI technology to reduce the time it takes to develop a treatment strategy, doctors will be able to focus on other aspects of treatment,†said Aaron Babier, one of the heads of the study at the University of Toronto's engineering department. "The idea of ​​automating and streamlining work with AI will help make medical care more efficient. I think this will really help ensure high quality care."
Mr. Babier and his team believe that with further development and validation, medical professionals will one day be able to use the tool in the clinic.
Source: WuXi PharmaTech AI
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