E³ - The Beauty of Basic Knowledge: Emergency Imaging

E³ 25A - Artificial intelligence (AI) in the emergency department: radiologists' not so little helper?

Lectures

1
Chairperson's introduction

Chairperson's introduction

02:00Katharina Mueller-Peltzer, Freiburg Im Breisgau / DE

2
AI availability in emergency imaging: what is approved, tested and deployed

AI availability in emergency imaging: what is approved, tested and deployed

20:00Anjali Agrawal, Delhi / IN

3
Interaction using AI in the emergency department: considerations regarding training and reliability

Interaction using AI in the emergency department: considerations regarding training and reliability

20:00Merel Huisman, Nijmegen / NL

4
Discussion

Discussion

18:00Discussion

2 min
Chairperson's introduction
Katharina Mueller-Peltzer, Freiburg Im Breisgau / Germany
20 min
AI availability in emergency imaging: what is approved, tested and deployed
Anjali Agrawal, Delhi / India
  1. To give an overview what algorithms are available, what can be detected by them and what will not be detected.
  2. To give an account on what works well, where are problems in recognition in certain pathologies, false negatives, and false positives.
  3. To talk about how well the integration in PACS and RIS work.
20 min
Interaction using AI in the emergency department: considerations regarding training and reliability
Merel Huisman, Nijmegen / Netherlands
  1. To understand what teachers and attendings need to consider regarding training residents in times of AI.
  2. To talk about how the future of radiology training will look like with AI being part of the daily work routine.
18 min
Discussion

This session offers AI-generated subtitles.