Zahra Batool

Sichuan University

Papers

1

Total Citations

3

H-Index

1

About

Zahra Batool is a pioneering researcher at the forefront of digital twin technology in surgery, with her work reshaping how we conceptualize and execute surgical care. Her primary research areas include digital twin-assisted surgery, surgical data integration, and the development of intelligent intraoperative systems. Batool’s major contribution lies in architecting a comprehensive framework that unifies digital twin technology across all surgical phases—from preoperative planning to postoperative recovery. She has demonstrated how dynamic, patient-specific virtual models, fed by real-time data from robotic manipulators, biosensors, and intelligent implants, can mirror the physical patient to enhance surgical guidance and outcomes. Her landmark 2026 paper, “Digital twin-assisted surgery,” has already garnered 3 citations, signaling growing recognition in this nascent field. Batool’s work is notable for its forward-looking integration of emerging technologies, addressing critical implementation challenges and charting a roadmap for future adoption. Her research promises to revolutionize precision medicine by enabling real-time, adaptive surgical environments, making her a key voice in the next generation of computer-assisted interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Digital twin-assisted surgery: technological architecture, integration across surgical phases, implementation challenges and future directions
3 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Sichuan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago