Ahoy! / IKIM / University Medicine Essen

Smart Hospital Information Platform

We at SHIP strive for the fusion of research and clinical applicability to create valuable clinical impact. Our backend enables state-of-the-art research questions while staying focused on clinical relevance. This lets us combine state-of-the-art AI and web development to solve clinically relevant problems and research questions.

Explore SHIP

Who we are

A ship in a port is safe, but that is not what ships are made for.

Drawing inspiration from the pioneering spirit of exploration, SHIP blends cutting-edge AI and web development to navigate the vast seas of clinical research and application. We venture beyond safe demos to build practical solutions for pressing clinical challenges.

As part of University Medicine Essen and the Institute for Artificial Intelligence in Medicine, we are closely connected to the real-world problems and infrastructure of one of the largest hospitals in western Germany.

01

Data Integration

Integrating clinical subsystems into an interoperable environment using high-performance ETL streams and the FHIR standard as a shared data schema.

02

Data Science & AI

Using real-world clinical data with state-of-the-art AI for computer vision, time-series forecasting, and large language models backed by GPU infrastructure.

03

Web & Mobile Development

Improving clinician workflows through easy-to-use applications based on real clinical problems, bridging data infrastructure to the point of care.

University Medicine Essen campus
+ 2 BillionFHIR Resources
Daily growing
150+ETL importers
50+AI & clinical papers
60+SHIP apps

Clinical interoperability & AI from Essen

At the forefront of interoperability and AI development using FHIR.

We operate one of Europe’s largest FHIR infrastructures, connecting hospital data with AI-powered and non-AI applications for research and clinical care.

That ecosystem supports patient dashboards, image analysis, risk prediction, survival modelling, and decision-support workflows built for real clinical use.

Our tech stack

Using modern and scalable technologies to shape the future of healthcare.

Our tech stack leverages cutting-edge packages, open-source technologies, and high-performance programming languages tailored for rapid AI development and efficient ETL processes. With an always up-to-date and dynamic stack, we stay close to the pulse of healthcare technology.

FHIR

Interoperable data models and application interfaces for clinical-scale workflows.

AI Development

Computer vision, forecasting, and LLM approaches built on real-world clinical data.

ETL Streams

High-performance importers that connect hospital subsystems to research-ready data products.

SHIP Apps

Web and mobile tools that turn infrastructure into usable support at the point of care.

PyTorchAI modelling
FiremetricsData products
MONAIMedical imaging
NVIDIAGPU compute
ScalaData pipelines
ReactClinical UI
PythonResearch tooling
PostgresData storage
SwiftMobile apps

Publications

Research from our team

Explore recent publications from SHIP and IKIM researchers across clinical AI, imaging, interoperability, and data-driven medicine.

Open PubMed
Nat Cancer / 2025

Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence

Keyl J et al.

View Paper
J Cachexia Sarcopenia Muscle / 2025

Exploration of fully-automated body composition analysis using routine CT-staging of lung cancer patients for survival prognosis

Künnemann MD et al.

View Paper

Open source

Explore our tools

Reusable software, datasets, and clinical data infrastructure from our work at the intersection of AI and interoperability.

Visit GitHub Loading tools from GitHub...

Team

Meet our thinkers & builders

Felix Nensa

Lead

René Hosch

Lead AI & Data Science

Johannes Haubold

Medical Lead

Obioma Pelka

Postdoc AI & Data Science

Tobias Brieden

Data Integration

Gordon Meyer

Lead Annotation Lab

Cynthia Schmidt

Lead Frontend Development

Kamyar Hartmann

Technical Director DIC

Markus Bitter

Technical Director DIC

Armin de Greiff

Lead Central IT

Bernadette Hosters

Nursing Research

Kirill Sokol

Full-Stack Developer

Moritz von Göwels

Senior Developer

Nicolas Kamzol

Full-Stack Developer

Yutong Wen

AI & Data Science

Meijie Li

Data Science & AI

Katarzyna Borys

AI & Data Science

Judith Kohnke

AI & Data Science

Sina Warmer

AI & Data Science

Eva Hartmann

AI & Data Science

Astrid Weber

Administration

Jazia Omeirat

Administration

Justin Woolley

Full-Stack Developer

Bahadir Eryilmaz

AI & Data Science

Christian Bojahr

AI & Data Science

Mikel Bahn

AI & Data Science

Fabian Esser

Data Integration

Donghui He

Data Integration

MA

Mohaimn Alsaga

Data Integration

Ahmad Idrissi-Yaghir

AI & Data Science

Henning Schäfer

AI & Data Science

Jannis Straus

AI & Data Science

Sara Erma Kaya

AI & Data Science

Lena Baumhoer

AI & Data Science

Marc Möllenkamp

Marc Möllenkamp

Junior Developer

Wladislaw Jerokin

Full-Stack Developer

Raphael Brüngel

AI & Data Science

Natalie van Landeghem

Medical Research

Luca Salhöfer

Medical Research

Alex Luft

Senior Developer

Roland Ihle

Data Integration

Vin Yeang Choo

Data Integration

Jan Eil

Full-Stack Developer

Anton Quinsten

Medical Research

Maximilian Schüßler

Medical Research

Mathias Holtkamp

Medical Research

Matteo Mancino

Medical Research

Sebastian Gill

Developer

ILS

IIn Lin Soleman

Junior Developer

Amin Turki

Medical Research

NS

Nimesh Singh

AI & Data Science

KM

Kaushik Manjunatha

AI & Data Science

TB

Tim Bicker

Junior Developer

Baran Özbay

Full-Stack Developer

PW

Philipp Winnekens

Data Integration

News

What we are talking about

Recent talks, interviews, publications, and public updates from the clinical AI ecosystem around SHIP and IKIM.

View all updates

Contact

Curious? Let's bring healthcare and research to the next level together.