State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis

State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis

Integrating responsible, explainable, and fair artificial intelligence (REF-AI) into medical image analysis has gained significant attention in recent years. This has been driven by the pressing need for ethical, trustworthy, and transparent implementation of AI systems in healthcare. The following...

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Bibliographic Details
Main Authors: Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence (AI)
responsible AI
explainable AI
fair AI
AI evaluation metrics
medical imaging
Online Access:https://ieeexplore.ieee.org/document/10942605/
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