Explainable AI-Based Analysis of Human Pancreas Sections Detects Traits of Type 2 Diabetes
Abstract
Type 2 diabetes (T2D) is a chronic disease currently affecting around 500 million people worldwide and potentially leading to severe health conditions. Yet, the causes for the underlying beta-cell failure leading to impaired insulin secretion are not fully understood, especially on a morphological level. While giga-pixel microscopy images may visualize such subtle morphological differences, the dimensionality and variability of the data quickly surpass the limits of human analysis. In response, we collected a dataset consisting of pancreas whole-slide images stained with multiple chromogenic and multiplex fluorescent stainings and trained various deep learning models to predict the T2D status. Using explainable AI (XAI) methods, we rendered the learned relationships humanly understandable, quantified them as comprehensive biomarkers, and utilized statistical modeling to assess their association with T2D. Our analysis reveals the contributions of adipocytes, pancreatic islets, and fibrotic patterns to T2D.
Cite
Text
Klein et al. "Explainable AI-Based Analysis of Human Pancreas Sections Detects Traits of Type 2 Diabetes." NeurIPS 2024 Workshops: InterpretableAI, 2024.Markdown
[Klein et al. "Explainable AI-Based Analysis of Human Pancreas Sections Detects Traits of Type 2 Diabetes." NeurIPS 2024 Workshops: InterpretableAI, 2024.](https://mlanthology.org/neuripsw/2024/klein2024neuripsw-explainable/)BibTeX
@inproceedings{klein2024neuripsw-explainable,
title = {{Explainable AI-Based Analysis of Human Pancreas Sections Detects Traits of Type 2 Diabetes}},
author = {Klein, Lukas and Ziegler, Sebastian and Gerst, Felicia and Morgenroth, Yanni and Gotkowski, Karol and Schöniger, Eyke and Kipke, Nicole and Seiler, Annika and Geibelt, Ellen and Heni, Martin and Wagner, Silvia and Nadalin, Silvio and Fend, Falko and Aust, Daniela and Mihaljevic, Andre and Hartmann, Daniel and Weitz, Jurgen and Schwartzenberg, Reiner Jumpertz-von and Distler, Marius and Birkefeld, Andreas and Ullrich, Susanne and Jaeger, Paul F and Isensee, Fabian and Solimena, Michele and Wagner, Robert},
booktitle = {NeurIPS 2024 Workshops: InterpretableAI},
year = {2024},
url = {https://mlanthology.org/neuripsw/2024/klein2024neuripsw-explainable/}
}