Khashayar Rafatzand

University of Massachusetts Chan Medical School

Papers

1

Total Citations

34

H-Index

1

About

Khashayar Rafatzand is a leading researcher at the intersection of medical robotics and diagnostic imaging, with a primary focus on enhancing ultrasound-based disease assessment through automation and haptic feedback. His most cited work, "Feasibility of robot-assisted ultrasound imaging with force feedback for assessment of thyroid diseases" (2020, 34 citations), pioneers a novel approach to thyroid examination by integrating robotic precision with real-time force feedback. This contribution addresses a critical limitation of classical manual ultrasound—operator dependency—by enabling consistent, reproducible imaging of thyroid textures and lesions. Rafatzand’s research demonstrates how robotic assistance can standardize tissue characterization, potentially improving early detection and follow-up of thyroid pathologies. By merging robotics, haptics, and clinical ultrasound, his work lays the groundwork for safer, more reliable diagnostic procedures. With growing interest in autonomous medical imaging, his findings are increasingly cited in studies on robot-assisted interventions and tele-ultrasound. Rafatzand’s achievements highlight a promising path toward reducing human error in high-stakes diagnostic settings, making him a notable figure in the evolving field of computer-assisted medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of robot-assisted ultrasound imaging with force feedback for assessment of thyroid diseases
34 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Massachusetts Chan Medical School

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago