Streamlining the diagnosis of lymphoma using automated diagnostic triaging

You will be able to submit questions to the speaker during the event using the Q&A function on Zoom. 

1.00 - 2.00 pm

Dr Martin Fergie, Lecturer in Healthcare Sciences, The University of Manchester and Chief Technology Officer, Spotlight Pathology Ltd

Learning objectives:
•    High-level overview of diagnostic pathway for lymphoma. 
•    Potential of artificial intelligence to provide an automated triaging of samples to streamline
      diagnosis. 
•    Performance results of a prototype artificial intelligence algorithm.

Martin Fergie is a machine learning and computer vision researcher at the University of Manchester in the Division of Informatics, Imaging and Data Sciences. His research interests are focussed on using machine learning models to predict disease outcomes from medical imaging data. Key projects include: predicting breast cancer risk from screening mammograms; predicting clinical outcomes for cancer using multiplex immunofluorescence tissue imaging.

Martin is currently taking part in the InnovateUK ICURe programme to identify opportunities to help relieve the workload burden on pathologists by applying artificial intelligence in clinical digital pathology. 

CPD Certificates will be awarded to attendees