AI boost for cancer cure as radiation process cut
Print Edition
To prepare the radiation plan for a rectal cancer patient, physician Chen Bo used to spend more than an hour studying a CT scan image and manually determining the targeted area.
Now, with the help of the latest artificial intelligence technology, the whole process takes him less than three minutes.
At the Cancer Hospital of the Chinese Academy of Medical Sciences, a new AI-powered computer program has helped doctors cut hours from the meticulous manual process of targeting radiation treatment.
The new program, developed by the Beijing-based cancer hospital and Shenzhen Haichuang medical company, uses deep-learning technology to predict patterns from previous samples and automatically produces plans for radiotherapy.
The program, which was put into clinical use in June, can now be used for rectal, breast and nasopharynx cancer.
Using the new program, a physician can save about three hours to plan the radiation treatment for nasopharynx cancer, and about 50 minutes for breast cancer, Chen said.
“By providing high-quality and precise radiotherapy services, the program can meet the demand of a larger number of cancer patients,” said Li Yexiong, director of the radiotherapy department at the cancer hospital.
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