Innovative Research Award
Matthew Duda — Stanford University, United States
Matthew Duda is presented in this academic recognition profile in connection with research activity in robotic surgery systems. The profile records the supplied bibliographic indicators, institutional affiliation, and researcher-identification information while placing the subject within the broader development of medical robotics and computer-assisted surgery. [1]
Abstract
This profile documents Matthew Duda’s supplied academic information and research association with robotic surgery systems. The record identifies Stanford University as his affiliation and reports 10 documents, 152 citations, and an h-index of 4. These indicators provide a bibliographic context for considering his suitability for an innovative research recognition in robotics and automation. [2]
Keywords
Robotic Surgery Systems; Medical Robotics; Surgical Automation; Computer-Assisted Surgery; Robotics and Automation; Research Recognition; Surgical Robotics; Innovative Research.
Introduction
Robotic surgery integrates robotics, sensing, control, imaging, and computer-assisted techniques to support surgical procedures. Research in this field examines precision, dexterity, automation, safety, and human-machine interaction. Reviews describe continued development from surgeon-guided platforms toward increasingly autonomous and semi-autonomous functions, establishing an important interdisciplinary foundation for modern surgical robotics. [3]
Research Profile
Matthew Duda’s supplied research profile places his academic subject area within robotic surgery systems and identifies Stanford University as his institutional affiliation. The reported bibliographic record comprises 10 documents, 152 citations, and an h-index of 4. These indicators offer a concise quantitative description of the research record associated with this recognition profile. [1]
Research Contributions
Research contributions in robotic surgery can encompass robotic manipulation, surgical navigation, sensing, control, image guidance, minimally invasive procedures, and automation. Within this context, Duda’s identified subject area provides a relevant basis for examining contributions to surgical robotic technologies. The field emphasizes technical performance alongside safety, clinical integration, and effective collaboration between clinicians and robotic systems. [2]
Publications
The supplied bibliographic record reports 10 documents associated with the researcher profile. Individual publication titles, journals, publication years, and authorship details should be verified directly through authoritative bibliographic records before being attributed to Matthew Duda. Research literature in surgical robotics demonstrates the breadth of the field, including autonomous systems, computer-assisted procedures, and medical robotic platforms.[3]
Research Impact
The supplied citation count of 152 provides one measurable indicator of scholarly visibility, while an h-index of 4 summarizes a different aspect of citation distribution. Such metrics should be interpreted alongside publication quality, originality, collaboration, practical relevance, and field-specific context. In robotic surgery, research impact may also be reflected through technological translation and clinical applicability. [2]
Award Suitability
The Innovative Research Award is thematically aligned with a researcher whose documented subject area is robotic surgery systems. Duda’s supplied profile includes an institutional affiliation, 10 documents, 152 citations, and an h-index of 4, providing measurable scholarly indicators for consideration. Final award suitability should additionally depend on verified publications, originality, research quality, and evaluation criteria. [1]
Conclusion
Matthew Duda’s supplied academic profile is situated within robotic surgery systems, a multidisciplinary area connecting robotics, engineering, computing, and medicine. The reported bibliographic indicators establish a concise research-recognition profile, while the broader literature demonstrates the continuing development of robotic and computer-assisted surgical technologies. Further assessment should rely on verified scholarly evidence and documented contributions.[2]
External Links
References
- IL-1R signaling enables bystander cells to overcome bacterial blockade of host protein synthesis.
https://www.researchgate.net/publication/277722010_IL-1R_signaling_enables_bystander_cells_to_overcome_bacterial_blockade_of_host_protein_synthesis
- A Multi-Task Deep Learning Model for Pediatric Echocardiography Analysis
https://www.researchgate.net/publication/397088053_A_Multi-Task_Deep_Learning_Model_for_Pediatric_Echocardiography_Analysis
- Robotic Coronary Artery Bypass Grafting: A Narrative Review of Techniques, Evidence, and Future Directions
https://www.mdpi.com/2077-0383/15/17/6677