van der Schaar Lab

Revolutionizing Healthcare: second roundtable on interpretability in ML/AI for healthcare

The van der Schaar Lab’s seventh Revolutionizing Healthcare engagement session for the clinical community took place virtually on April 27, 2021.

This session was the second roundtable in a double-header focusing on interpretability in ML/AI for healthcare. Following a quick introduction by Mihaela van der Schaar, a panel of four clinicians and the audience of clinicians discussed a range of complex issues surrounding interpretability, including whether or not current expectations among the clinical community are realistic.

Our panel for this session consisted of:
  • Alexander Gimson, MD FRCP (Consultant transplant hepatologist, Cambridge University Hospitals NHS Foundation Trust)
  • Prof Henk van Weert, MD PhD (Professor, general practice, Amsterdam UMC; Research programs in oncology and cardiovascular diseases)
  • Martin Cadeiras, MD (Associate professor, medical director, heart failure, heart transplantation and mechanical circulatory support, University of California, Davis)
  • Maxime Cannesson, MD PhD (Chair, Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles)

The next roundtable in the Revolutionizing Healthcare series will be held on May 27, and will focus on personalized therapeutics/individualized treatment effect inference. Details can be found here.

Introduction – 0:00​​
Meet the roundtable panelists – 2:13
Declaration of interests – 3:07
Mihaela’s presentation on terminology and types of interpretability – 4:02
Initial questions for Mihaela on interpretability methods [Aneeq Rehman] – 13:10
Question for Mihaela on generating hypotheses through interpretable ML [David Chong] – 16:09
Question for panelists expectations for ML versus clinical scoring systems [David Chong] – 18:20
Discussion with panelist Maxime Cannesson: “All boxes are black” – 23:34
Discussion among panelists: expectations from ML models – 32:48
Question for panelists on knowledge gaps among personnel [Harpreet Sood] – 44:29
Question for panelists on preparing clinicians to improve healthcare outcomes [Timing Liu] – 49:19
Question for panelists on expectations of ML interpretability versus humans [Venkat Reddy] – 55:15
Intro to next sessions and note on CPD credits – 1:06:28

NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.

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Nick Maxfield

Nick Maxfield

Nick oversees the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

Nick studied Japanese (BA Hons.) at the University of Oxford, graduating in 2012. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020).

Given his humanities/languages background and experience in communications, Nick is well-positioned to highlight and explain the real-world impact of research that can often be quite esoteric. Thankfully, he is comfortable asking almost endless questions in order to understand a topic.