[Legal responsibility in AI-assisted radiological reporting].

Abstract

Artificial intelligence (AI) is increasingly used in radiological diagnostics, particularly for screening, detection, and prioritization of imaging exams. While these systems promise efficiency gains and improved diagnostic accuracy, their clinical integration raises important legal questions concerning responsibility and liability in cases of diagnostic error. This article analyzes the legal framework governing AI in radiology and examines the allocation of liability between physicians, health