Machine-learning techniques for constructing medical images

One or more non-transitory computer readable media including instructions that, when executed by one or more processors, cause the one or more processors to construct medical images by performing the steps of:

• executing a first trained machine learning model on a first set of data points associated with a both a first medical item and a spectral domain to generate a second model that represents the first medical item within the spectral domain;
• mapping a first set of positions to a first set of predicted values associated with both the first medical item and the spectral domain via the second model;
• and
• constructing a first image of the first medical item based on the first set of predicted values.

A system comprising:

• one or more memories storing instructions;
• and
• one or more processors coupled to the one or more memories that, when
• executing the instructions, perform the steps of:
• executing a first trained machine learning model on a first set of data points associated with a both a first medical item and a spectral domain to generate a second model that represents the first medical item within the spectral domain;
• mapping a first set of positions to a first set of predicted values associated with both the first medical item and the spectral domain via the second model;
• and
• constructing a first image of the first medical item based on the first set of predicted values.