Research Presentation Sessions: Imaging Informatics / Artificial Intelligence and Machine Learning

RPS 1105 - Radiology workflow evolution and new developments

Lectures

1
Introduction by the moderator

Introduction by the moderator

02:00Costin A. Minoiu, Bucharest / RO

2
Exploring automated MR logfile analysis and clinical context to quantify exam changeover time as basis for future workflow optimisation

Exploring automated MR logfile analysis and clinical context to quantify exam changeover time as basis for future workflow optimisation

08:00Xinyu Wang, Hamburg / DE

3
Sustanaibility in radiology: a model of optimisation for the development of a green, ecofriendly and smart radiology

Sustanaibility in radiology: a model of optimisation for the development of a green, ecofriendly and smart radiology

08:00Stefano Palmucci, Catania / IT

4
Importance of business analytics for the re-organization of an academic hospital radiology unit during the COVID-19 pandemic

Importance of business analytics for the re-organization of an academic hospital radiology unit during the COVID-19 pandemic

08:00Michela Polici, Rome / IT

5
Structured reporting yields linguistic standardisation and semantic distinguishability of radiology reports

Structured reporting yields linguistic standardisation and semantic distinguishability of radiology reports

08:00Jan Vosshenrich, Basel / CH

6
A novel approach to a national patient dose registry

A novel approach to a national patient dose registry

08:00Juan Vicente Catret Mascarell, Valencia / ES

7
Automated analysis of CT repeated scans in a large European hospital

Automated analysis of CT repeated scans in a large European hospital

08:00Niki Fitousi, Leuven / BE

8
Digital evolution of informed patient consent: added value for CT examinations

Digital evolution of informed patient consent: added value for CT examinations

08:00Matthias Stefan May, Erlangen / DE

9
A study on RECIST variability: a mathematical simulation

A study on RECIST variability: a mathematical simulation

08:00Teresa Bucho, Amsterdam / NL

10
AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT

AI co-pilot: content-based image retrieval for the reading of rare diseases in chest CT

08:00Mathias Meetschen, Essen / DE

11
Contrast media reduction in CT with deep learning utilising a generative adversarial network in an experimental animal study

Contrast media reduction in CT with deep learning utilising a generative adversarial network in an experimental animal study

08:00Johannes Haubold, Essen / DE