AI-ed & Imaging in the Clinic
This event is hosted by University Enterprise Zone and organised/delivered by SAS, the Maxwell Centre and the Office for Translational Research.
Topics of the event are:
- AI & Clinical imaging focus
- Cutting edge mathematical/computational approaches and models
- Increase interactions between industry, clinicians, maths and computer science researchers
- Discuss metrology in AI and medical imaging
- Promote interdisciplinary research
- Discuss entrepreneurship opportunities
Speakers and panellists include:
- Prof Evis Sala (Radiology, University of Cambridge)
- Prof Carola Schönlieb (DAMTP, University of Cambridge)
-
Mr Gavin Pettigrew (Surgery, University of Cambridge)
- Mr Simon Tilley (SAS)
- Dr Nadia Smith (Data Science, National Physical Laboratory)
- Chaz Henry (SAS Vector Labs)
- Early-career researchers
|
Time |
Session |
Speaker/Moderator |
Details |
|
14:00 |
Welcome |
Dr Alex Samoshkin (UoC) |
Brief intro to the event and schedule overview |
|
14:05 |
Overview of AI approaches for Imaging analysis in the Clinic |
Profs Evis Sala (Radiology, UoC) and Carola Schönlieb (DAMTP, UoC) |
Overview of AI approaches and challenges Benefits of multidisciplinary collaborations |
|
14:15 |
AI image analysis software to assess pre-implantation kidney biopsies |
Dr John Tobi Ayorinde (UoC), Federica Citterio and Matteo Landrò (SAS) |
We discuss the challenges to building an explainable AI tool for human-machine decision making, in the context of renal transplantation |
|
14:35 |
Q&A session for Tobi, Federica and Matteo |
Mr Simon Tilley (SAS) |
10 minutes |
|
14.45 |
The role of metrology in AI and medical imaging |
Dr Nadia Smith (Data Science, NPL) |
Measurement science for standardization of imaging methods and processes, and in providing confidence in data driven decisions |
|
15:00 |
SAS Vector Labs |
Chaz Henry |
Industry partnership – bringing together curiosity, capability and business execution |
|
15:10 |
All-in-one Cancer Diagnostics |
Cathal McCague and Thomas Buddenkotte ( UoC) |
All-in-one cancer imaging optimisation using an integrated mathematical and deep learning approach |
|
15:30 |
Q&A session for Cathal and Thomas |
Mr Simon Tilley (SAS) |
10 minutes |
|
15:40 |
Closing remarks |
Prof Evis Sala, Prof Carola Schönlieb, Dr Nadia Smith, Mr Gavin Pettigrew, and Simon Tilley |
Overview, summary, thoughts and general remarks to conclude the event |
|
16:00 Close |
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Registration: https://www.eventbrite.co.uk/e/ai-ed-imaging-in-the-clinic-tickets-136300645901