Project description:
The optimization of clinical workflows and the associated freeing up of medical resources are key aspects of the work. Medical resources are and will remain limited. Therefore, it is essential to use them as efficiently as possible.
An example of this is patients with malignant brain tumors. This severe condition requires regular brain MRIs to plan treatment and evaluate its effectiveness. For optimal decision-making, specialists must consolidate and carefully reconcile extensive information from the clinical course and imaging data. This process is time-consuming and requires a well-prepared team to collaborate in joint meetings. Artificial intelligence models such as GPT-4 can provide support by accurately summarizing clinical courses and radiology reports. This allows specialists to focus more on the core task of clinical decision-making.
Publication:
Kai R. Laukamp, Robert A. Terzis*, Jan-Michael Werner, Norbert Galldiks, Simon Lennartz, David Maintz, Robert Reimer, Philipp Fervers, Roman Johannes Gertz, Thorsten Persigehl, Christian Rubbert, Nils C. Lehnen, Cornelius Deuschl, Marc Schlamann, Michael H. Schönfeld, Jonathan Kottlors, Radiology 2024.
Submitting the Paper of the Month:
Else Kröner-Fresenius-Stiftung is using the series “Paper of the Month” to report in an exemplary and hot-off-the-press style on the outstanding work being done by the scientists it supports. We regularly present publications which have recently appeared in especially renowned journals, have emerged from foundation funding and been given appropriate acknowledgment. This is done in the respective categories “Original Paper” and “Review”. In the case of each of these publications, the first author and/or senior author are being funded by the foundation.
We invite all project managers, fellowship recipients and members of graduate study programs to send their work in accordance with the stated criteria as proposal for Paper of the Month to Ms. Anne Asschenfeldt (a.asschenfeldt@ekfs.de).
More Paper of the Month can be found here.
