Lesion detection artificial intelligence pipeline computing system

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 computing device, causes the computing device to implement a lesion detection and classification artificial intelligence (AI) pipeline, wherein the AI pipeline executes to:

• process, by one or more first machine learning computer models of the AI pipeline, an input volume of medical images to determine whether or not the input volume depicts a predetermined amount of an anatomical structure of interest;
• determine, by logic of the AI pipeline, whether one or more predetermined criteria are satisfied by output of the one or more first machine learning computer models, wherein the one or more predetermined criteria comprises a predetermined amount of an anatomical structure of interest being depicted in the input volume;
• execute, by the AI pipeline, in response to determining that the one or more predetermined criteria are satisfied by the output of the one or more first machine learning computer models, a lesion detection operation that detects whether the input volume of medical images includes the presence of one or more lesions;
• and
• output, by the AI pipeline, an output based on results of the lesion detection for downstream computing system processing.

An apparatus comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to implement a lesion detection and classification artificial intelligence (AI), wherein the AI pipeline executes to:
• process, by one or more first machine learning computer models of the AI pipeline, an input volume of medical images to determine whether or not the input volume depicts a predetermined amount of an anatomical structure of interest;
• determine, by logic of the AI pipeline, whether one or more predetermined criteria are satisfied by output of the one or more first machine learning computer models, wherein the one or more predetermined criteria comprises a predetermined amount of an anatomical structure of interest being depicted in the input volume;
• execute, by the AI pipeline, in response to determining that the one or more predetermined criteria are satisfied by the output of the one or more first machine learning computer models, a lesion detection operation that detects whether the input volume of medical images includes the presence of one or more lesions;
• and
• output, by the AI pipeline, an output based on results of the lesion detection for downstream computing system processing.