E³ - Advanced Course: Sustainable Technological Innovations: From Digital Transition to High-End Technology
E³ 219 - The "new" digital transition in the radiology department
Lectures
1
Chairperson's introduction
05:00Guy Frija, Paris / FR
2
Dose monitoring systems: how to optimise radiation exposure
25:00Jacob Sosna, Jerusalem / IL
3
Business analytics (BA) for data-driven decisions
25:00Andrea Laghi, Roma / IT
4
AI implementation: benefits, threats, and barriers
25:00Tim Leiner, Rochester / US
5 min
Chairperson's introduction
Guy Frija, Paris / France
25 min
Dose monitoring systems: how to optimise radiation exposure
Jacob Sosna, Jerusalem / Israel
1. To explain how dose monitoring systems work.
2. To explain the advantages of using dose monitoring systems for radiation protection.
3. To present future developments of dose monitoring systems.
2. To explain the advantages of using dose monitoring systems for radiation protection.
3. To present future developments of dose monitoring systems.
25 min
Business analytics (BA) for data-driven decisions
Andrea Laghi, Roma / Italy
1. To explain how business analytics software works.
2. To explain the advantages of using business analytics software for management decisions.
3. To present future developments in business analytics.
2. To explain the advantages of using business analytics software for management decisions.
3. To present future developments in business analytics.
25 min
AI implementation: benefits, threats, and barriers
Tim Leiner, Rochester / United States
1. To list different AI-based solutions for radiology.
2. To explain the advantages of using AI in clinical practice.
3. To describe potential threats in AI implementation.
2. To explain the advantages of using AI in clinical practice.
3. To describe potential threats in AI implementation.
10 min
Discussion