ProCancer-I Session
ProCAncer-I - An AI platform integrating multiparametric MRI and AI models
Lectures
1
Introducing the ProCAncer-I project
10:00Manolis Tsiknakis, Heraklion, Crete / GR
2
The ProstateNET infrastructure
10:00Kostas Marias, Heraklion / GR
3
AI model development: results of four years of work
10:00Nikolaos Papanikolaou, Lisbon / PT
4
Has the performance of radiologists improved with AI?
10:00Daniele Regge, Torino / IT
10 min
Introducing the ProCAncer-I project
Manolis Tsiknakis, Heraklion, Crete / Greece
- To present the overarching objectives of the project.
- To present the key methodological and technical challenges.
- To discuss sustainability and exploitation plans.
10 min
The ProstateNET infrastructure
Kostas Marias, Heraklion / Greece
- To overcome hurdles to the data collection.
- To describe the ProstateNET infrastructure and data anonymisation procedures.
- To summarise how data quality issues were approached.
10 min
AI model development: results of four years of work
Nikolaos Papanikolaou, Lisbon / Portugal
- To describe the AI model development pipeline.
- To summarise the most significant findings of AI model development.
- To summarise how the remaining challenges in model development can be overcome.
10 min
Has the performance of radiologists improved with AI?
Daniele Regge, Torino / Italy
- To describe the methodology adopted to validate the ProCAncer-I AI models.
- To summarise the results of clinical validation of AI models.
- To give insight into what remains to be done before the AI models can be trusted and adopted in clinical pra
20 min
Discussion