Systems and methods for using ai to identify regions of interest in medical images

Abstract

Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a first environment. The first environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the first environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a second environment. Data objects for the requested user-specific model may be provided to the first environment, which uses the ROI repository to train the model. The trained model may be provided to the second environment, where the trained user-specific model/algorithm may be tested and stored.

What is claimed is: 
     
         1 . A method for using AI to identify ROI in medical images, the method comprising:
 detecting, by an orchestration engine in a first environment, a request to train an algorithm to identify the ROI, wherein the request is provided to a second environment external to the first environment;   receiving an algorithm container for the algorithm, wherein the algorithm container comprises one or more data objects for the algorithm;   identifying, in a ROI repository in the first environment, content related to the algorithm container, wherein the content comprises one or more images of the ROI;   training, by a training engine in the first environment, a model using the content and   providing the trained model to the second environment.   
     
     
         2 . A system for using AI to identify ROI in medical images, the system comprising:
 a processor; and   memory coupled to the processor, the memory comprising computer executable instructions that, when executed, perform a method comprising:
 detecting, by an orchestration engine in a first environment, a request to train an algorithm to identify the ROI, wherein the request is provided to a second environment external to the first environment; 
 receiving an algorithm container for the algorithm, wherein the algorithm container comprises one or more data objects for the algorithm; 
 identifying, in a ROI repository in the first environment, content related to the algorithm container, wherein the content comprises one or more images of the ROI; 
   training, by a training engine in the first environment, a model using the content and   providing the trained model to the second environment.   
     
     
         3 . A system for using AI to identify ROI in medical images, the system comprising:
 a processor; and   memory coupled to the processor, the memory comprising computer executable instructions that, when executed, perform a method comprising:
 receiving, by an application in a first environment, a request to train an algorithm to identify the ROI; 
 providing, to a second environment, an algorithm container for the algorithm, wherein the algorithm container comprises one or more data objects for the algorithm; 
 receiving a trained model from the second environment, wherein the trained model is based on the algorithm container; and 
 evaluating performance metrics of the trained model using a test operating environment of the second environment.