Figure 1. Approaches to explainable artificial intelligence (AI).
(a) Deep explanation, (b) module induction, and (c) interpretable model have been proposed to generate human-understandable explanations of AI decisions. Grad-CAM, gradient-weighted class activation mapping.

From: Clinical Application of Artificial Intelligence in Ultrasound Imaging for Oncology

Figure 2. Automated detection and assessment of acoustic shadows in ultrasound (US) imaging.
This encoder-decoder model detects acoustic shadows in US images and assesses their effect on the target area. When the model detects that an image is unsuitable for analysis due to acoustic shadows, it prompts the examiner to rescan the image.

From: Clinical Application of Artificial Intelligence in Ultrasound Imaging for Oncology

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