Linling Cheng
Papers
1
Total Citations
11
H-Index
1
About
Linling Cheng is a leading researcher at the forefront of medical artificial intelligence, with a primary focus on developing autonomous AI agents for healthcare. Her most influential work introduces a foundational architecture for medical AI agents, distinguishing them from traditional AI through their capacity for autonomy, adaptability, and complex task management. This conceptual framework, built on four core components—planning, action, reflection, and learning—has already garnered 11 citations since its 2025 publication, signaling its rapid impact on the field. Cheng’s contributions are pivotal in shaping how AI can independently navigate clinical workflows, from diagnosis to treatment planning, while maintaining ethical and safety standards. Her research addresses critical gaps in healthcare AI, moving beyond static algorithms toward dynamic, self-improving systems. By establishing a structured blueprint for these agents, Cheng is helping to pave the way for more intelligent, responsive, and trustworthy medical technologies. Her work is essential reading for students and researchers interested in the next generation of AI-driven healthcare solutions.
Research Focus
Key Achievements
Top Papers
- 1A foundational architecture for AI agents in healthcare11 citations · 2025