Research Blog
28.07.2026
Gaps in the Benchmark: Why Medical AI Fails in the Real World
MCML Research Insight – With Jiazhen Pan, Bailiang Jian, Niklas Bubeck, Christian Wachinger, Benedikt Wiestler, and Daniel Rückert
We’ve all seen the headlines: the latest Artificial Intelligence model has aced the US medical licensing exams, scoring higher than many human doctors. It sounds like the future of healthcare has …
21.07.2026
The Learning Rate Does More Than Set the Pace
MCML Research Insight – With Maria Matveev, Vit Fojtik, Gitta Kutyniok, and Johannes Maly
A neural network can fit its training examples in many different ways. The harder question is which of these possible solutions will continue to perform well on new data, and whether the choices made …
29.06.2026
Research Stay at Stanford University
Felix Dülmer – Funded by the MCML AI X-Change Program
From March to May 2026, I had the opportunity to spend three months as a visiting researcher at Stanford University, hosted by Prof. Jeremy Dahl and the Ultrasound Imaging and Instrumentation Lab. …
2024-11-22 - Last modified: 2026-09-03