With the advancement and development of technology, artificial intelligence is gradually playing an increasingly important role in the medical field. So, what kind of sparks will the combination of artificial intelligence and radiation therapy create? How can artificial intelligence improve the accuracy and effectiveness of radiation oncology therapy? How will the application of large language models help medical physicists?
In this issue, Shan Guoping, director of the Department of Radiation Physics of Zhejiang Cancer Hospital, is invited to explain artificial intelligence + radiotherapy to help you with precision treatment of tumors.
In recent years, with the development and innovation of technology, artificial intelligence technology has been well combined with radiation therapy for tumors.
01
Artificial intelligence technology
Use in radiation therapy
01 Reading the film
In the previous mode of manual reading, doctors may be fatigued due to long-term reading of a large number of images, and then miss individual lesions.
However, there is no such problem in artificial intelligence reading, and the first screening of images by a machine can effectively reduce the probability of missed diagnosis.
02 Delineation of tumor targets and organs at risk
Before giving radiation therapy to patients, it is necessary to confirm the boundary between the tumor and normal tissue, and delineate the tumor target area and organs that are at risk to protect the normal tissue.
The anatomy of the human body is basically the same, so artificial intelligence technology can be used to automatically identify and delineate organs and normal tissues at risk.
This step, which used to take one to two hours for clinicians to do manually, can now be done in about a minute by AI.
03Develop a treatment plan
Clinically, it can take up to half a day for doctors to develop a treatment plan for a patient.
Director Shan said that the "Auto Plan" currently under development can predict the radiation dose distribution of patients, treatment goals, etc.
The application of AI technology can reduce the repetitive work of clinicians, allowing them to spend more time with patients or treat more patients.
02
How to improve artificial intelligence
Accuracy in treatment
The team of the Department of Radiation Physics of Zhejiang Cancer Hospital trained the model with the existing treatment data of patients as training data through model research and algorithms, and then used another set of clinical data as validation data to verify it, and finally compared the results with the actual results, and the results were very consistent, so that the mathematical model could be applied to clinical practice.
Regarding how to improve the accuracy of the mathematical model, Director Shan said that the algorithm of the model and the data it "feeds" are very important, and continuous optimization of the algorithm and providing high-quality data can help improve its accuracy.
03
Artificial intelligence technology
Practical use in radiation therapy
If you want to know more about the practical application of artificial intelligence technology in radiation therapy, you can take nasopharyngeal carcinoma as an example.
The anatomy of nasopharyngeal carcinoma is complex, the tumor sometimes invades the base of the skull, and there are many organs around nasopharyngeal carcinoma, which requires a long time for human intervention, and artificial intelligence can accurately predict the distribution of measurement in radiotherapy for nasopharyngeal carcinoma.
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