In this issue, we explore the fragile intersection between artificial intelligence, healthcare, and responsibility. As AI systems become increasingly integrated into clinical environments, a critical question emerges: what happens when these systems fail, and who should be held accountable? From algorithmic opacity and adaptive learning systems to the fragmentation of liability between developers, manufacturers, and healthcare professionals, AI-driven healthcare is reshaping traditional concepts of fault and accountability. As the AI Act and MDR attempt to regulate this evolving ecosystem, uncertainty remains at the center of the debate. Are current legal frameworks truly prepared for autonomous decision-making systems in healthcare, or is responsibility becoming increasingly difficult to attribute?