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Revolutionary AI Tool Enhances Speed and Precision in Cervical Cancer Treatment Planning

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AI Tool Promises Faster, More Accurate Cervical Cancer Treatment Planning

Moore collaborated with Paul Rodriguez, a computational data scientist at SDSC, for the initial setup, testing, and benchmarking of their model on the Voyager machine. This innovative approach aims to standardize cancer care, especially in clinics with limited resources, enabling healthcare providers to focus on improving treatment plans rather than rushing processes. The research team aspires to adapt their AI tool for other cancer types, like breast and prostate cancer, enhancing its usability across various health systems. This advancement promises to deliver better and more equitable cancer treatment to a larger patient population, swiftly and efficiently. The findings were published in the journal Brachytherapy. Support for the Voyager system comes from the NSF NAIRR Pilot (allocation no. NAIRR250110), with additional funding from NSF (award no. 2005369). Explore ongoing research and education at UC San Diego, particularly in the realm of artificial intelligence.

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