Recent innovations of computer calculation and artificial intelligence in radiotherapy resulted in rapid advancements in various aspects in cancer treatment such as treatment planning, patient-specific quality assurance, radiation dosimetry, and education for patients and radiation staff. Such computer applications not only improve the quality of radiation treatment, but also enhance the safety in the radiotherapy chain.
In this webinar, we shall draw attention to some significant developments in computer calculation and machine learning in radiotherapy. There will be a focus on Monte Carlo simulations in nanoparticle-enhanced radiotherapy, and the applications of machine learning in treatment plan evaluation.
Showcased will be an AI-chatbot created for education and training. In addition, Monte Carlo simulation is a mathematical method based on random sampling and is well known to be the benchmark in predicting radiation dose in treatment planning.
We will go through some Monte Carlo simulation results for dose enhancement in gold nanoparticle-enhanced radiotherapy. Machine learning is recently implemented in treatment planning and patient/radiation staff education in the radiotherapy chain. Also explored is how machine learning can help in treatment-plan evaluation and creating an AI-chatbot for the education of patients and radiation staff.
Source: physicsworld.com
