Recent Japan Government QC Procurements: Looking to the US for On-Premise Systems

Late last month, US Department of Defense (DOD) leadership explored the potential to inculcate artificial intelligence (AI) processes into its overall military operations, signaling a fundamental change in how information and data are used to increase the decision space for leaders both in military and civilian domains. Delivered during the third and most recent iteration of the Global Information Dominance Experiment (GIDE 3), which included representatives from all 11 combatant commands, NORTHCOM Commander Gen. Glen D. VanHerck's remarks on AI were aimed at progressing the ability to maintain domain awareness, achieve information dominance, and provide decision superiority in both competition and crisis.

At the conclusion of 2021, researchers at UNC Charlotte and Duke University Medical Center published results of work done to use transfer learning methods to generate fluence maps for radiation therapy, aimed at providing medical professionals with more capability and information in fighting adrenal cancers. The technique uses a deep transfer learning model trained on a much larger dataset that can be applied to a smaller data set for a specific application.

• The initial model was trained on pancreas treatment plans, then retuned and applied to a smaller set of data points on adrenal cancers. The output of the model generates a fluence map for specific IMRT beam-based treatments for adrenal cancers.
• According to the researchers, this approach is meant to supplement but not replace human expertise in the field and is reliant on human expertise to finetune and improve the AI model.