Jeroen BerrevoetsThe van der Schaar Lab’s fourteenth Revolutionizing Healthcare engagement session for clinicians took place virtually on March 10, 2022.
This session was the second instalment in a double-header focusing on the absolutely crucial topic of early detection and diagnosis (ED&D).
At the start of the session, Mihaela and an international panel of three expert clinicians (representing a variety of backgrounds) explored how AI and machine learning can help transform early detection and diagnosis (ED&D).
Our panel for this session consisted of:
- Alberto Vargas, MD (Chief Attending, Department of Radiology, Memorial Sloan Kettering Cancer Center)
- Prof. Henk van Weert (Professor, General Practice & Family Medicine, Amsterdam UMC; Research programs in oncology and cardiovascular diseases)
- Prof. Stephen Friend (Visiting Professor of Connected Medicine, University of Oxford; Chairman and co-founder, Sage Bionetworks and 4YouandMe)
Following the roundtable, Dr. Eoin McKinney (one of our lab’s clinical and academic collaborators) presented a newly-developed machine learning demonstrator specifically designed for ED&D.
Introduction – 0:00
Declaration of interests – 0:44
Session overview – 1:32
Introductory presentation by Mihaela – 4:51
Meet the roundtable panelists – 14:37
Roundtable topic 1: opportunities for machine learning in ED&D – 15:36
Roundtable topic 2: new sources of information for ED&D – 30:23
Roundtable topic 3: advice for the machine learning community – 35:12
Presentation and demonstration by Eoin McKinney – 41:48
Intro to next sessions and note on CPD credits – 1:12:17
NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.
A written companion piece on ED&D (for a clinical audience) can be found here.
Sign up for our upcoming sessions here.
Tim Schubert
Mihaela van der Schaar
Andreas Bedorf
