The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI

arXiv:2403.15684v1 Announce Type: new
Abstract: Explainable artificial intelligence (XAI) plays an indispensable role in demystifying the decision-making processes of AI, especially within the healthcare industry. Clinicians rely heavily on detailed reasoning when making a diagnosis, often CT scans for specific features that distinguish between benign and malignant lesions. A comprehensive diagnostic approach includes an evaluation of imaging results, patient observations, and clinical tests. The surge in deploying deep learning models as support systems in medical diagnostics has been significant, offering …

abstract artificial artificial intelligence arxiv clinicians cs.cv decision diagnosis explainable artificial intelligence features healthcare healthcare industry industry intelligence making maps perception processes reasoning role scans type xai