
Major Reliability Flaws Revealed in AI Saliency Map Study of 25,000-Medical Images
German and South African researchers tested AI explanation tools used in medical imaging, finding that while some methods like ScoreCAM effectively highlight disease-relevant areas in brain scans and X-rays, others fail reliability tests. Surprisingly, random highlighting sometimes outperformed sophisticated AI explanation methods, raising concerns about trustworthiness before clinical deployment.











