Nicolas Perez

Deep learning software for the automated generation of diagnostic reports from radiology images

Nicolas Perez
Photo: Nicolas Perez

 

During the Fellowship Nicolas Perez and his team aim to develop a deep learning software for the automated generation of diagnostic reports from radiology images. Since the manual writing of reports is time consuming and error-prone, the envisioned solution of ARGON is an application where x-ray images can be imported and processed to suggest potential sentences that match with the image. This data-driven support tool for report writing has the potential to streamline the workflow of physicians and free time for other important tasks. 

With the motivation of deploying a useful technology within the hospital environment, Nicolas Perez perceives the Entrepreneur Fellowship as an opportunity for researchers like himself to transform an academic exercise into a practical tool.

 

Affiliation: Prof. Michael Krauthammer

Start date: 01/2021