Determining appropriate medical image processing pipeline based on machine learning

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to implement an automated medical image processing pipeline selection system, and wherein the computer readable program further causes the data processing system to:

• analyze, by a medical image analytics subsystem of the automated medical processing pipeline, medical image data to extract first evidence data comprising characteristics of one or more medical images in the medical image data;
• analyze, by a text analytics subsystem of the automated medical processing pipeline, text data associated with the medical image data to extract second evidence data;
• apply, by a machine learning model, a machine learning based analysis of both the first evidence data and the second evidence data to deduce at least one characteristic of the medical image data;
• select, by the machine learning model, a medical image processing pipeline based on results of the machine learning based analysis of the first evidence data and second evidence data;
• and
• process, by the selected medical image processing pipeline, the medical image data to generate a results output.

A data processing system comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to implement an automated medical image processing pipeline selection system, and wherein the instructions further cause the at least one processor to:
• analyze, by a medical image analytics subsystem of the automated medical processing pipeline, medical image data to extract first evidence data comprising characteristics of one or more medical images in the medical image data;
• analyze, by a text analytics subsystem of the automated medical processing pipeline, text data associated with the medical image data to extract second evidence data;
• apply, by a machine learning model, a machine learning based analysis of both the first evidence data and the second evidence data to deduce at least one characteristic of the medical image data;
• select, by the machine learning model, a medical image processing pipeline based on results of the machine learning based analysis of the first evidence data and second evidence data;
• and
• process, by the selected medical image processing pipeline, the medical image data to generate a results output.