Revolutionizing Healthcare #22
On January 18, the van der Schaar Lab will hold its twenty-second Revolutionizing Healthcare engagement session for doctors and healthcare professionals.
The session will focus on Machine learning interpretability: Making ML useful and actionable for clinicians and researchers.
We will present you with our vision on how machine learning can be made more relevant and useful for you, the clinical community.
We shall discuss a range of important but potentially complex issues surrounding understanding and evaluating the diagnoses, prognoses, and treatment or policy suggestions from machine learning models.
Joining us to share their unique and real-world experiences as clinicians and researchers we have:
– Prof Eoin McKinney, MD (University lecturer in renal medicine at the University of Cambridge; Honorary consultant in nephrology and transplantation, Cambridge University Hospitals NHS Foundation Trust; Faculty member at the Cambridge Centre for AI in Medicine)
– Dr Shinjini Kundu, MD, PhD (Resident physician and research scientist at Johns Hopkins Hospital)
As our sessions revolve largely around the conversation with the clinical community, we’d like you, our audience, to come into the session with any questions you might have regarding ML interpretability i.e., about how to understand and make the right use of the output of machine learning models in a medical setting.
If you would like to learn more about the topic in preparation of the session, please have a look at our research pillar on the topic, as well as our previous Revolutionizing Healthcare sessions about interpretable ML from 31 March 2021 and 27 April 2021.
Location and date/time
This event will take place on Zoom on January 18 at 16:00 BST.
The event is finished.
- Jan 18 2023
TimeNote: time is shown in BST
- 16:00 - 17:15