Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

CONCLUSIONS: We report on the first artificial-intelligence based clinical decision support system that connects patients to past discrete treatment plans in radiation oncology and demonstrate for the first time how this tool can enable clinicians to use past decisions to help inform current assessments. Clinicians can be informed of dose tradeoffs between critical structures early in the treatment process, enabling more time spent on finding the optimal course of treatment for individual patients. PMID: 29162279 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/29162279?dopt=Abstract

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - November 18, 2017 Category: Radiology Authors: Valdes G, Simone CB, Chen J, Lin A, Yom SS, Pattison AJ, Carpenter CM, Solberg TD Tags: Radiother Oncol Source Type: research