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AssigneeShanghai United Imaging Intelligence Co., Ltd.
InventorsShanhui Sun, Zhang Chen, Xiao Chen, Yikang Liu, Lin Zhao, Terrence Chen, Arun Innanje, Abhishek Sharma, Wenzhe Cui, Xiao Fan
Estimating the term…
Disclosed herein are deep-learning based systems, methods, and instrumentalities for medical decision-making. A system as described herein may implement an artificial neural network (ANN) that may include multiple encoder neural networks and a decoder neural network. The multiple encoder neural networks may be configured to receive multiple types of patient data (e.g., text and image based patient data) and generate respective encoded representations of the patient data. The decoder neural network (e.g., a transformer decoder) may be configured to receive the encoded representations and generate a medical decision, a medical summary, or a medical questionnaire based on the encoded representations. In examples, the decoder neural network may be configured to implement a large language model (LLM) that may be pre-trained for performing the aforementioned tasks.
A system comprising one or more computers and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to implement an artificial neural network (ANN), wherein the ANN comprises:
A method, comprising:
Dependencies are inferred from the claim text.