Qihua Zhang
Papers
1
Total Citations
11
H-Index
1
About
Qihua Zhang is a pioneering researcher at the intersection of artificial intelligence and healthcare, whose work is defining the next generation of medical AI systems. Their primary research areas include autonomous AI agents, clinical decision support, and human-AI collaboration in medicine. Zhang’s most significant contribution is the introduction of a foundational architecture for AI agents in healthcare, a conceptual framework that reimagines medical AI as autonomous, adaptive entities capable of managing complex clinical tasks. This framework, built on four core components—planning, action, reflection, and learning—has rapidly gained traction, accumulating 11 citations since its 2025 publication. The work is notable for distinguishing these agents from traditional AI by emphasizing their ability to operate with autonomy and contextual awareness, marking a paradigm shift in how AI can support clinical workflows. Zhang’s research is already influencing the design of next-generation medical tools, positioning them as a leading voice in the emerging field of agentic AI for healthcare. Their contributions promise to reshape patient care by enabling more responsive, intelligent, and collaborative AI systems.
Research Focus
Key Achievements
Top Papers
- 1A foundational architecture for AI agents in healthcare11 citations · 2025