Martin Sundahl Laursen

University of Southern Denmark

Papers

1

Total Citations

4

H-Index

1

About

Martin Sundahl Laursen is a researcher at the forefront of healthcare automation and human-robot interaction. His work primarily investigates the critical factors that influence the acceptance and adoption of diagnostic robots in clinical settings, bridging the gap between advanced technology and practical healthcare delivery. In his highly relevant 2022 study, "Factors Facilitating the Acceptance of Diagnostic Robots in Healthcare: A Survey," Laursen systematically explores the key drivers—such as trust, perceived usefulness, and ease of use—that determine whether healthcare professionals and patients will embrace robotic diagnostics. This work, which has already garnered 4 citations, is foundational for designing robotic systems that are not only technically capable but also socially and psychologically acceptable in resource-constrained health systems. By identifying the human-centric barriers to automation, Laursen’s research provides actionable insights for engineers, policymakers, and clinicians aiming to integrate AI-driven diagnostics into routine care. His contributions are particularly timely as global healthcare faces mounting pressure to innovate, making his findings essential for anyone interested in the future of medical robotics and patient-centered technology adoption.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Factors Facilitating the Acceptance of Diagnostic Robots in Healthcare: A Survey
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Southern Denmark

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago