1 code implementation • 25 Jan 2024 • Lisa Adams, Felix Busch, Tianyu Han, Jean-Baptiste Excoffier, Matthieu Ortala, Alexander Löser, Hugo JWL. Aerts, Jakob Nikolas Kather, Daniel Truhn, Keno Bressem
However, all models struggled significantly in tasks requiring the identification of missing information, highlighting a critical area for improvement in clinical data interpretation.
1 code implementation • 3 Jan 2024 • Jean-Baptiste Excoffier, Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Keno Bressem, Matthieu Ortala
The increasing use of tools and solutions based on Large Language Models (LLMs) for various tasks in the medical domain has become a prominent trend.
1 code implementation • 1 Apr 2021 • Gabriel Ferrettini, Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Chantal Soulé-Dupuy
As Machine Learning (ML) is now widely applied in many domains, in both research and industry, an understanding of what is happening inside the black box is becoming a growing demand, especially by non-experts of these models.