Towards a better understanding of the workflows: Modeling pathology processes in view of future AI integration
Artificial intelligence and machine learning for digital pathology: state-of …, 2020•Springer
A profound understanding of the pathology processes is an essential precondition for
successful introduction of changes and innovations, such as for example AI and Machine
Learning, into pathology. Process modeling helps to build up such a profound
understanding of the pathology processes among all relevant stakeholders. This paper
describes the state of the art in modeling pathology processes and shows on an example
how to create a reusable multipurpose process model for the diagnostic pathology process.
successful introduction of changes and innovations, such as for example AI and Machine
Learning, into pathology. Process modeling helps to build up such a profound
understanding of the pathology processes among all relevant stakeholders. This paper
describes the state of the art in modeling pathology processes and shows on an example
how to create a reusable multipurpose process model for the diagnostic pathology process.
Abstract
A profound understanding of the pathology processes is an essential precondition for successful introduction of changes and innovations, such as for example AI and Machine Learning, into pathology. Process modeling helps to build up such a profound understanding of the pathology processes among all relevant stakeholders. This paper describes the state of the art in modeling pathology processes and shows on an example how to create a reusable multipurpose process model for the diagnostic pathology process.
Springer
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