Empolis (Germany)

Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing

Tobias Jorg, Benedikt Kämpgen, Dennis Feiler et al.

2023 · 35 Zit.

Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings

Máté E. Maros, Chang Gyu Cho, Andreas Junge et al.

2021 · 13 Zit.

Natural language processing of radiology reports to investigate the effects of the COVID-19 pandemic on the incidence and age distribution of fractures

Florian Jungmann, Benedikt Kämpgen, Felix Hähn et al.

2021 · 11 Zit.

Natural Language Processing in der Radiologie

Florian Jungmann, Sebastian Kühn, Igor Tsaur et al.

2019 · 9 Zit.

Grundlagen und Einsatzmöglichkeiten von Natural Language Processing (NLP) in der Radiologie

Florian Jungmann, Sebastian Kühn, Benedikt Kämpgen

2018 · 8 Zit.

Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination

Fabian Stoehr, Benedikt Kämpgen, Lukáš Müller et al.

2023 · 6 Zit.

Comparative Analysis of Machine Learning Algorithms for Computer-Assisted Reporting Based on Fully Automated Cross-Lingual RadLex® Mappings

Máté E. Maros, Chang Gyu Cho, Andreas Junge et al.

2020 · 5 Zit.

Verstehen was Ärzte schreiben: Kann KI die Datenflut in der Medizin bändigen?

Benedikt Kämpgen, Philipp F. Sodmann, Máté E. Maros et al.

2022 · 0 Zit.