Michelle Song

Johns Hopkins University

Papers

1

Total Citations

1

H-Index

1

About

Dr. Michelle Song is a pioneering roboticist whose work sits at the intersection of surgical robotics and minimally invasive orthopedics. Her primary research focuses on developing intelligent, semi-autonomous systems for spine surgery, with a particular emphasis on vertebroplasty—a procedure that treats debilitating vertebral compression fractures affecting over 200 million people worldwide. In her landmark 2025 study, "Cannula-Mounted Robots for Semi-Autonomous Vertebroplasty," Song directly tackles two critical limitations of current practice: prolonged radiation exposure for surgeons and the steep procedural learning curve. By comparing novel piezo-based and screw-based inchworm drive designs, she demonstrates how compact, cannula-mounted robots can enable precise, semi-autonomous needle placement, potentially reducing surgeon radiation dose while improving procedural consistency. Though early in her career, this work has already garnered attention for its practical, patient-centered approach—addressing a massive global health burden with elegant engineering. Song’s contributions represent a significant step toward democratizing complex spinal interventions, making them safer and more accessible for both providers and the millions of patients suffering from osteoporotic fractures.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Cannula-Mounted Robots for Semi-Autonomous Vertebroplasty: A Comparison of Piezo-Based and Screw-Based Inchworm Drive Designs
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago