Artificial intelligence (AI) is not simply transforming clinical practice; it is reshaping how clinical responsibility is organised. Much of the current debate has focused on whether AI will replace physicians, particularly in technically intensive specialties such as radiology, oncology, and cardiology [1,2]. However, this question may obscure a more fundamental challenge: who remains responsible or decisions that are increasingly generated, structured, or constrained by algorithms [3].
