Ai-powered devices and methods to provide image and sensor informed early warning of changes in health
AssigneeNew York University
InventorsDaniel K. Sodickson, Hersh Chandarana, Sumit Chopra
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Abstract
One embodiment relates to a method that includes receiving input data. The input data includes data from a plurality of modalities including imaging or sensing modalities. The method includes processing the input data with a neural network trained to identify shared characteristics among the plurality of modalities. The neural network distills the input data to generate a representation. The method includes processing the representation with the neural network to generate an output.
Claims20
A method, comprising:
- receiving input data, the input data comprising data from a plurality of modalities comprising imaging or sensing modalities;
- processing the input data with a neural network trained to identify shared characteristics among the plurality of modalities, the neural network distilling the input data to generate a representation;
- and
- processing the representation with the neural network to generate an output.
A system, comprising:
- a memory including instructions;
- and
- at least one processor to execute the instructions to:
- receive input data, the input data comprising at least one of:
- data from multiple imaging modalities;
- data from multiple sensing modalities;
- and
- data from multiple different timepoints;
- process the input data using a neural network to generate a representation;
- and
- process the representation with the neural network to generate an output.
A non-transitory processor-readable medium storing code representing instructions to be executed by one or more processors, the instructions comprising code to cause the one or more processors to:
- receive input data, the input data comprising at least one of:
- data from multiple imaging modalities;
- data from multiple sensing modalities;
- and
- data from multiple different timepoints;
- process the input data using a neural network to generate a representation;
- and
- process the representation with the neural network to generate an output.
Dependencies are inferred from the claim text.