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Software that learns from hundreds of past plans what dose distribution is achievable for a new patient, and produces a plan in minutes that a planner would have taken hours to reach.
Radiotherapy planning has been a manual optimisation by skilled dosimetrists, with quality varying between planners and centres; trial reviews repeatedly found plan quality affected outcomes. Knowledge-based planning models (RapidPlan and others) predict achievable dose-volume histograms from anatomy, and automated multi-criteria and AI planning generate plans directly. They raise the floor of plan quality, cut planning time from hours to minutes, and make daily adaptive replanning feasible. Human review remains essential, and models can inherit the habits of the plans they were trained on.
Statistical or deep-learning models map patient anatomy to achievable dose, driving automated optimisation toward consistently high-quality plans.
Query for this technology: (TITLE:"Knowledge-based and automated treatment planning" OR ABSTRACT:"Knowledge-based and automated treatment planning") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Knowledge-based and automated treatment planning, not a curated reading list.
Shares Adaptive radiotherapy (online replanning), Radiotherapy treatment planning and QA software and the tag radiation-wave1.
Shares Adaptive radiotherapy (online replanning) and the tag radiation-wave1.
Shares Adaptive radiotherapy (online replanning) and the tag radiation-wave1.
Shares Radiotherapy treatment planning and QA software and the tag radiation-wave1.
Shares Radiotherapy treatment planning and QA software and the tag radiation-wave1.
Shares AI auto-contouring and adaptive planning, Radiotherapy treatment planning and QA software.
Shares Adaptive radiotherapy (online replanning), Radiotherapy treatment planning and QA software.
Shares AI auto-contouring and adaptive planning, Adaptive radiotherapy (online replanning).
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
Planning and Optimization for Radiation Therapy: an open Python platform with benchmark patient data for planning research, from MSK.
The open knowledge-based planning challenge: a dataset and code for predicting dose distributions for head and neck radiotherapy.