News

Experts from three countries will talk about AI technology in the 3rd Japenese-German-French AI Symposium. Felix Nensa will also have the opportunity to talk about how AI technology can improve patient treatment.

Felix Nensa will be featured in the next Rheum@digital event on 28 October 2022. He will talk about Artificial intelligence in radiology - especially for axSpA and PsA patients. Registrations are available on https://rheumadigital.

Nelufar Ulfat-Bunyadi is now part of the “IOP Expertenkreis”, a group of experts striving for interoperability in the German public health sector. https://www.ina.gematik.de/mitwirken/expertenkreis/mitglieder-des-expertenkreises/ulfat-bunyadi-nelufar

The first SmartHospital.NRW Summit for project participants, stakeholders and interested parties will take place in Bonn on 25 August 2022. https://smarthospital.nrw/summit22/

Felix Nensa gives the opening lecture at the University of Lübeck about the future of AI in medicine. https://www.healthcapital.de/veranstaltungen/termin/ki-in-der-radiologie/

In the Health-IT Talk in Berlin, Felix Nensa elaborates on AI in radiology and its future potential for clinical use cases. https://www.healthcapital.de/veranstaltungen/termin/ki-in-der-radiologie/

Felix Nensa explains the concept of Smart Hospital and how it is realized at the University Hospital Essen to improve patient care. https://www.rwf-online.de/system/files/RWF_07-2022.pdf

The DIC Essen participates in the SMITH Congress 2022 (28.-29.06.2022) in Berlin. Tobias Brieden explains how the newly developed Questionnaire App allows for capturing patient-reported outcome measures (PROMs) and is used at UME to foster patient involvement.

At the HIMSS Europe conference in Helsinki on June, 15th, Felix Nensa participates in the panel on „How Digital Health Platforms Accelerate Digital Transformation“ and explains the role of SHIP in transforming the University Hospital Essen into a smart hospital.

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