Papers

2

Total Citations

35

H-Index

2

About

Dr. Mengling Feng is a pioneering researcher at the intersection of artificial intelligence and healthcare, with a primary focus on embodied AI—systems that perceive, reason, and act within physical clinical environments. Her work bridges the gap between digital health tools and real-world medical practice, advancing how AI can move beyond static screens to interact dynamically with patients and clinicians. Among her most impactful contributions is the comprehensive survey "From Screens to Scenes: A Survey of Embodied AI in Healthcare" (2025), which has already garnered over 35 combined citations, reflecting its rapid influence on the field. This seminal work systematically maps the emerging landscape of AI-driven robots, virtual agents, and sensor-integrated systems designed for tasks like patient monitoring, rehabilitation, and surgical assistance. Dr. Feng’s research is notable for its emphasis on translating theoretical AI advances into practical, scalable solutions that enhance clinical decision-making and patient outcomes. Her achievements underscore a commitment to shaping the next generation of intelligent healthcare technologies, making her a key voice in the ongoing evolution of AI from the digital to the physical world.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
From screens to scenes: A survey of embodied AI in healthcare
24 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National University Health System, National University of Singapore

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago