healthcare university hospital essen nvidia [shutterstock: 1598738203, Natali _ Mis]
[shutterstock: 1598738203, Natali _ Mis]
Artificial Intelligence Press Release

Nvidia-Powered AI To Supercharge Smart Hospital Platforms

Nvidia is collaborating with clinical organizations across Europe to bring AI to the point of care, bolstering clinical pathways with efficiency gains and new data dimensions that can be included in medical decision-making processes.

The University Hospital Essen, in northwestern Germany, is one such organization taking machine learning from the bits to the bedside using Nvidia technology and AI to build smart hospitals of the future.

Jens Kleesiek and Felix Nensa, professors at the School of Medicine of the University of Duisburg Essen, are part of a four-person team leading the research groups that established the Institute for Artificial Intelligence in Medicine (IKIM). The technology developed by IKIM is integrated with the IT infrastructure of University Hospital Essen.

IKIM hosts a data annotation lab, overseen by a team of board-certified radiologists, that accelerates the labeling of anatomic structures in medical images using MONAI, an open-source, PyTorch-based framework for building, training, labeling and deploying AI models for healthcare imaging.

IKIM researchers also use self-supervised learning to pretrain AI models that generate high-quality labels for the hospital’s CT scans, MRIs and more. Additionally, the IKIM team has developed a smart hospital information platform, or SHIP, an AI-based central healthcare data integration platform and deployment engine. The platform is used by researchers and clinicians to conduct real-time analysis of the slew of data in university hospitals, including medical imaging, radiology reports, clinic notes and patient interviews.

SHIP can, for example, flag an abnormality on a radiology report and notify physicians via real-time push notifications, enabling quicker diagnoses and treatments for patients. The AI can also pinpoint data-driven associations between healthcare metrics like genetic traits and patient outcomes.

About the author

E-3 Magazine

Articles published through E-3 Magazine International. This includes press releases by our partners as well as articles and reports from the E-3 team of journalists.

Add Comment

Click here to post a comment

Sign up for e3zine´s biweekly newsbites

Please do not use administrative mail adresses like "noreply@..", "admin@.." or similar as these may get blocked for security reasons.

We use rapidmail for dispatching our newsletter. By signing up, you agree that the data you have entered will be transmitted to rapidmail. Please take note of their terms and conditions and privacy policy.termsandconditions.

Our Authors