Florian Jungmann

Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry

2020 · 85 Zit. · Academic Radiology

Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs

2019 · 47 Zit. · Insights into Imaging

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

2023 · 33 Zit. · Insights into Imaging

Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?

2021 · 12 Zit. · European Radiology

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

2021 · 11 Zit. · Skeletal Radiology

Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery

2025 · 10 Zit. · European Archives of Oto-Rhino-Laryngology

Natural Language Processing in der Radiologie

2019 · 9 Zit. · Der Radiologe

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

2025 · 5 Zit. · JMIR Medical Education

Medizin im digitalen Zeitalter: Telemedizin in der studentischen Lehre

2018 · 1 Zit. · Der Radiologe

Unterscheiden sich die Erwartungen und Einstellungen zu Anwendungen der Künstlichen Intelligenz zwischen Radiologen und IT-Experten?

2020 · 0 Zit. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren