AI in Medicine Seminar Series: “Mind the explainability gap: harnessing the power of high-level concepts for interpretable AI in medicine” and “Deep Learning and Radiomics in Breast Masses Detection and Classification”

March 8, 2023

The next seminar will be held on the 28th of March 2023 at 11AM at the Seminar Room 12, School of Clinical Medicine, and will feature two talks:

Mateo Espinosa Zarlengha – “Mind the explainability gap: harnessing the power of high-level concepts for interpretable AI in medicine” 

Mateo is a PhD student and Gates scolar in the Department of Computer Science and Technology at the University of Cambridge

Francesco Prinzi  – “Deep Learning and Radiomics in Breast Masses Detection and Classification” 

Francesco is a PhD Student in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo.

Each session will involve two talks, followed by an interactive discussion with coffee and pastries! We hope that this seminar series will be a valuable platform for researchers, practitioners, and students to learn about the latest trends and explore collaborations in the exciting field of AI in Medicine.

This is a hybrid event so you can also join via Zoom: https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09

Meeting ID: 990 5046 7573 Passcode: 617729

AI in Medicine Seminar Series: “Mind the explainability gap: harnessing the power of high-level concepts for interpretable AI in medicine” and “Deep Learning and Radiomics in Breast Masses Detection and Classification”
Connect

Connect with us

The Mark Foundation Institute for Integrated Cancer Medicine (MFICM) at the University of Cambridge aims to revolutionise cancer care by affecting patients along their treatment pathway.

Find out more

Connect