Concepedia

An explainable artificial intelligence-enabled electrocardiogram analysis model for the classification of reduced left ventricular function

Susumu Katsushika, Satoshi Kodera, Shinnosuke Sawano, Hiroki Shinohara, Naoto Setoguchi, Kengo Tanabe, Yasutomi Higashikuni, Norifumi Takeda, Katsuhito Fujiu, Masao Daimon,

European Heart Journal - Digital Health · 2023 · 12 citations · 18 references

DOI Full text

Open access

Abstract

We visually interpreted the model's decision criteria to evaluate its validity, thereby developing a model that provided the decision-interpretability required for clinical application.

References

18

Random Forests

Leo Breiman · Machine Learning · 2001 · 119.3K citations · Full text

Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging

Roberto M. Lang, Luigi P. Badano, Victor Mor‐Avi et al. · Journal of the American Society of Echocardiography · 2015 · 17.5K citations · Full text

Health Sciences, Medical Imaging, Cardiovascular Disease +11

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature · 2017 · 13K citations · Full text

Dermoscopic Image, Convolutional Neural Network, Deep Neural Networks +6

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Leland McInnes, John J. Healy · Deep Blue (University of Michigan) · 2018 · 7.4K citations · Full text

Geometric Modeling, Engineering, Machine Learning +15

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.2K citations