Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening

Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening

Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance in various medical fields. However, their clinical application remains challenging because of the lack of explanatory power in AI decisions (black box problem), making it difficult to build trust with medi...

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Bibliographic Details
Main Authors: Akira Sakai, Masaaki Komatsu, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Ai Dozen, Kanto Shozu, Tatsuya Arakaki, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biomedicines
Subjects:
explainable artificial intelligence
deep learning
fetal cardiac ultrasound screening
congenital heart disease
abnormality detection
Online Access:https://www.mdpi.com/2227-9059/10/3/551

Internet

https://www.mdpi.com/2227-9059/10/3/551

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