Revolutionizing Healthcare: Putting Clinicians in the Driver’s Seat: Building a No-Code AI/ML Partner to Empower Clinicians

On 1 October, we had our 27th Revolutionizing Healthcare session. In that session, we explored our no-code virtual data science partner, capable of going from clinical dataset to predictive model and interpretation in just one conversation.

The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation.

During our CCAIM Clinical Summer School, we unveiled our no-code virtual data science partner, capable of going from clinical dataset to predictive model and interpretation in just one conversation. This sparked a lot of excitement from the clinicians who got a first look. Now, it’s time to share it with you!

For this episode, Prof Mihaela van der Schaar first introduced the basics of using AI to empower clinicians and how the new tool (CliMB) or similar virtual AI/ML partners could transform clinical research. Then we moved on to a panel discussion to hear clinical perspectives before opening up to questions from the audience.

We thank Prof Andres Floto (CCAIM/University of Cambridge), Prof Vasilis Kosmoliaptsis (University of Cambridge), and Dr Tom Callender (CCAIM/UCL) for their participation.

If you didn’t manage to join us last week, we’d strongly recommend watching the archived video, which is now available on YouTube:

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

Sign up for our upcoming sessions here.