I am currently working on a healthtech website that uses ai to detect abnormalities in scans and so far the website works on manual upload of scans. I wanted to eliminate manual upload by pulling the study list out of the pacs server which can then be processed for the ai model. I am currently working with the MEVN stack and I have a cornerstone dicom viewer that integrated into my website and was wondering if I can get any help with this pacs integration. Any help is appreciated.
1 Answers
You can follow the "Using CornerstoneJS and Orthanc to Support Deep Learning Projects" instructions for help. Specifically, from the prototype-cornerstone repository, you can see an example of how to connect CornerstoneJS with an Orthanc server. In terms of research purpose, you 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: https://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: https://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: https://doi.org/10.1016/j.ijhcs.2021.102607
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