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Erratum: Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.

Takuya Matsumoto¹, Satoshi Kodera², Hiroki Shinohara²

¹School of Medicine, Graduate School of Medicine, The University of Tokyo.

International Heart Journal

|October 1, 2020

Summary

A correction is issued for a previously published article on diagnosing heart failure using deep learning from chest X-ray images. The correction pertains to Figure 5, which requires replacement for accurate data representation.

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Area of Science:

Medical Imaging
Artificial Intelligence
Cardiology

Background:

The original article explored the use of deep learning for diagnosing heart failure from chest X-ray images.
Accurate diagnostic tools are crucial for effective heart failure management.

Purpose of the Study:

To correct an error in Figure 5 of the article "Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning."
To ensure the accurate representation of data related to deep learning-based heart failure diagnosis.

Main Methods:

The study utilized deep learning algorithms applied to chest X-ray images.
A specific figure (Figure 5) in the original publication was identified as containing an error.

Main Results:

The correction involves replacing Figure 5 on page 784 with an updated version.
This ensures the data presented in the article accurately reflects the study's findings.

Conclusions:

The correction aims to maintain the integrity and accuracy of scientific reporting in the field of AI-driven medical diagnostics.
Ensuring accurate figures is vital for the reliable application of deep learning in diagnosing conditions like heart failure.