Abstract: Methods and systems for machine-learning-based prediction of a dose-volume histogram for radiotherapy treatment planning. The method includes receiving prescription information and a plan geometry. The plan geometry includes a planning target volume and an organ at risk. The method also includes extracting a plurality of input features using the plan geometry and a machine-learning model. The method further includes determining the dose-volume histogram by combining the plurality of input features using the machine-learning model.

Abstract: A system is described for automatically calibrating a display device based at least on information relating to a user of the display device. The system obtains visual acuity information or pupillary information of the user. The system then determines a value of a display parameter of the display device based at least on the visual acuity information or the pupillary information of the user. The determined value is then provided for application to the display device. Other information may also be used in determining the value of the display parameter, such as user input, demographic information of the user, display device specific information, user environment information, displayed content information, or application context information. An algorithm may be used that determines the display parameter based on such information. The algorithm may comprise a model obtained through machine learning.

Abstract: A system is described for automatically calibrating a display device based at least on information relating to a user of the display device. The system obtains visual acuity information or pupillary information of the user. The system then determines a value of a display parameter of the display device based at least on the visual acuity information or the pupillary information of the user. The determined value is then provided for application to the display device. Other information may also be used in determining the value of the display parameter, such as user input, demographic information of the user, display device specific information, user environment information, displayed content information, or application context information. An algorithm may be used that determines the display parameter based on such information. The algorithm may comprise a model obtained through machine learning.