Project

Ophthalmo-AI

Intelligent, Cooperative Medical Decision Support in Ophthalmology

Intelligent, Cooperative Medical Decision Support in Ophthalmology

  • Duration:

The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning - IML). The DFKI aims to integrate clinical guidelines and knowledge of medical professionals (expert knowledge/or human intelligence) interactively with machine learning (artificial intelligence) into the diagnostic process in a so-called augmented intelligence system. In order to achieve this, diagnostic ML models and explanatory components (e.g., visualization tools) are developed, that provide physicians with feedback on the decisions of the ML model and thus make a decisive contribution to transparency in the diagnosis and therapy process. In the future, this system will not only be used in the diagnosis scenario, but also for low-threshold automatic support in the processing/annotation of OCT image data.

Partners

Fraunhofer-Institut Biomedizinische Technik (IBMT), Augenklinikum Sulzbach, Augenzentrum am St. Franziskus-Hospital Münster, Heidelberg Engeineering GmbH, LangTec, Universität des Saarlandes

Sponsors

Federal Ministry of Education and Research (BMBF)

16SV8639

Federal Ministry of Education and Research (BMBF)

Publications about the project

Fabrizio Nunnari, Daniel Sonntag

In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021) June 8-11 Eindhoven/Virtual Netherlands EICS '21 ISBN 9781450384490 Association for Computing Machinery 2021.

To the publication
Truong Thanh-Nhat Mai, Ngoc Trong Tuong Than, Ho Minh Duy Nguyen, Alexander Prange, Daniel Sonntag

In: Proceedings of the 44th German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-2021) September 27-October 1 Berlin/Virtual Germany LNCS Springer 2021.

To the publication
Alexander Prange, Daniel Sonntag

In: Stefan Edelkamp , Elmar Rueckert , Ralf Möller (editor). KI 2021: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2021) Germany Pages 194-203 ISBN 978-3-030-87626-5 Springer International Publishing 2021.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz