This special issue focuses on the integration of large language models and agentic AI systems in healthcare. The issue invites research on how these autonomous, reasoning-capable technologies can transform clinical practice, hospital operations, and healthcare management while promoting patient-centered care and sustainability.
Healthcare organizations increasingly deploy AI agents that combine perception of diverse clinical data with capabilities like planning, tool use, and collaboration to support clinicians, patients, researchers, and administrators. As adoption grows, rigorous evaluation and trustworthiness become critical to ensure these systems remain safe, auditable, and aligned with clinical standards.
The special issue welcomes original research articles, position papers, and validated case studies on both technical topics such as architectures and algorithms, and socio-technical topics including ethics, policy, and human factors across all stages of agentic AI deployment in healthcare.