Recently, we were trying to help on a question at StackOverflow (SO) concerning how to manually integrate a PACS into a healthcare project. The person is working on a health tech platform that uses Artificial Intelligence (AI) to detect abnormalities in scans, and so far the platform works on manual upload of scans. The goal was to eliminate manual upload by pulling the study list out of the PACS server, which can then be processed for the AI model.

In the end, we recommended following the "Using CornerstoneJS and Orthanc to Support Deep Learning Projects" instructions for help. Moreover, from the prototype-cornerstone repository, we can see an example of how to connect CornerstoneJS with an Orthanc server. In terms of research purpose, we also have several available related literature [1, 2, 3] using these set of technologies.

References

[1] Francisco M. Calisto, Alfredo Ferreira, Jacinto C. Nascimento, and Daniel Gonçalves. 2017. Towards Touch-Based Medical Image Diagnosis Annotation. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS '17). Association for Computing Machinery, New York, NY, USA, 390–395. DOI: doi.org/10.1145/3132272.3134111

[2] Francisco Maria Calisto, Nuno Nunes, and Jacinto C. Nascimento. 2020. BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. In Proceedings of the International Conference on Advanced Visual Interfaces (AVI '20). Association for Computing Machinery, New York, NY, USA, Article 49, 1–5. DOI: doi.org/10.1145/3399715.3399744

[3] Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento, Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification, International Journal of Human-Computer Studies, Volume 150, 2021, 102607, ISSN 1071-5819, DOI: doi.org/10.1016/j.ijhcs.2021.102607