RPS 1205 - Using AI for quality control in radiography
Lectures
1
Predicting a radiograph’s diagnostic quality before its acquisition: an artificial intelligence approach using depth imaging in a cadaver study
07:00Malte Maria Sieren, Lübeck / DE
2
Can AI help us in acquiring good skeletal images? Towards automated quality assessment of 2D skeletal X-ray imaging using AI-assisted pose estimation
07:00Omar Hertgers, Den Haag / NL
3
Automated quality control of chest X-rays
07:00Ian Andrew Selby, Cambridge / UK
4
Detecting patient mix-ups in chest radiographs: an artificial intelligence approach
07:00Lennart Berkel, Lübeck / DE
5
How does AI feedback impact student and qualified radiographers’ decision making?
07:00Clare Rainey, Portrush / UK
6
Quality assessment compliance using a combination of deep learning, NLP and limited human intervention: feasibility for real time institutional deployment
07:00Vasantha Kumar Venugopal, New Delhi / IN
7
Whole-body magnetic resonance imaging in the large population-based German national cohort study (NAKO): use of an automated image quality assessment for the prediction of perceived image quality
07:00Christopher Schuppert, Heidelberg / DE
8
Moderation
00:00Linda Bergli Hammerstrøm, Greåker / NO
PEP Subscription Required
This course is only accessible for ESR Premium Education Package subscribers.