TY - JOUR T1 - Artificial Intelligence in Medicine and Radiation Oncology JF - Cureus Y1 - 2018 A1 - Weidlich, Vincent A1 - Weidlich, Georg A. KW - artificial intelligence KW - big data KW - error analysis KW - error prevention KW - machine learning KW - process efficiency KW - process optimization KW - quality improvement KW - radiation oncology AB - Artificial Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations. UR - https://www.cureus.com/articles/11443-artificial-intelligence-in-medicine-and-radiation-oncology ER -