RAISE -- Radiology AI Safety, an End-to-end lifecycle approach

no code implementations • 24 Nov 2023 • M. Jorge Cardoso, Julia Moosbauer, Tessa S. Cook, B. Selnur Erdal, Brad Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sebastien Ourselin, Franz MJ Pfister

The integration of AI into radiology introduces opportunities for improved clinical care provision and efficiency but it demands a meticulous approach to mitigate potential risks as with any other new technology.

Fairness Scheduling

Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning

no code implementations • 24 Apr 2019 • Jann Goschenhofer, Franz MJ Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas

To solve the problem of limited availability of high quality training data, we propose a transfer learning technique which helps to improve model performance substantially.

General Classification regression +4