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The SHIP-AI teams says “Ahoy”!

Have a look at some of the projects we are currently working on

FHIR-PYrate

FHIR-PYrate is an in-house Python package that provides a comprehensive functionality to query FHIR servers for desirable resources such as diagnostic reports, observations, radiologic imaging data, and many more. The content of diagnostic reports can be filtered with RegEx or the advanced natural language processing library spaCy. Additionally, DICOM studies and series can be downloaded and anonymized.

Github repository

Body Composition Analysis

Body Composition Analyses (BCA) involve automatical extraction of CT-based biomarkers, such as muscle, fat, and bone volumes to use as predictive features in the determination of clinical outcomes. Presently, biomarkers remain largely unused, but are valuable by-products of CT scans, allowing a baseline comparison for disease patients and a comprehensive analysis of disease progression.

View publications

AI-supported liver transplantation

Prof. Felix Nensa and Prof. Arzu Oezcelik report on how AI can improve the care of transplant patients. Significantly faster than humans, AI can calculate the size of the liver in order to improve the safety of donors and recipients.

Watch video

pydicom-seg

Pydicom-seg is a library to facilitate the conversion process of DICOM-SEG files into ITK compatible data formats by providing a Python native implementation of reading and writing functionality with support for numpy and SimpleITK. Additionally, common use cases like loading multi-class segmentations are supported out-of-the-box.

Github repository

SmartHospital.NRW

The constantly growing amount of health data makes it possible to develop intelligent and personalized applications for early health detection, diagnostics, treatment and aftercare. Above all, AI-based systems hold enormous potential, which SmartHospital.NRW wants to leverage and make usable for hospitals in North Rhine-Westphalia.

More information

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