Sedanur Güngör | Public Health | Best Researcher Award

Published on by Scientific World Research Awards

Best Researcher Award

Sedanur Güngör

Sedanur Güngör
Affiliation Gazi University
Country Turkey
Scopus ID 59374926100
Documents 4
Citations 5
h-index 1
Subject Area Public Health
Event Scientific World Research Awards
ORCID 0000-0002-3943-5365

Sedanur Güngör is a researcher affiliated with Gazi University whose academic work contributes to the fields of physiotherapy, rehabilitation sciences, and public health. Her scholarly profile includes studies related to hand rehabilitation, telerehabilitation methods, musculoskeletal disorders, and clinical assessment tools.[1] Through collaborative clinical investigations, her research reflects contemporary approaches in rehabilitation practice and patient-centered physiotherapy applications.[2]

Abstract

Sedanur Güngör has developed an emerging academic profile in public health and physiotherapy research through collaborative investigations focusing on rehabilitation sciences and clinical patient outcomes. Her published studies address telerehabilitation, grip strength evaluation, osteoarthritis, tendon repair, and virtual assessment methods in physiotherapy practice.[2] These contributions demonstrate engagement with evidence-based rehabilitation techniques and modern therapeutic technologies. Her scholarly activities also include psychometric and clinical investigations intended to improve patient care and rehabilitation efficiency.[3] The interdisciplinary nature of her work reflects the evolving integration of digital healthcare systems into rehabilitation sciences.

Keywords

Public Health, Physiotherapy, Rehabilitation Sciences, Telerehabilitation, Hand Therapy, Clinical Research

Introduction

Current rehabilitation sciences increasingly incorporate digital assessment methods and patient-centered therapy models. Sedanur Güngör’s research activity aligns with these developments through investigations involving hand rehabilitation and therapeutic evaluation systems.[2]

Research Profile

Her Scopus-indexed publications and ORCID profile document collaborative studies in physiotherapy and rehabilitation medicine. Research topics include tendon repair rehabilitation, osteoarthritis interventions, and psychometric clinical measurements.[1]

Research Contributions

Her published investigations evaluate rehabilitation effectiveness, virtual goniometric measurements, and radial nerve mobilization outcomes in clinical populations.[3] These studies contribute to evidence-based physiotherapy literature.

Publications

Research Impact

The researcher’s contributions support ongoing advancements in rehabilitation assessment and therapeutic monitoring. Her work demonstrates practical relevance for physiotherapy professionals and clinical rehabilitation researchers.[4]

Award Suitability

Sedanur Güngör’s emerging publication profile, interdisciplinary rehabilitation studies, and contributions to clinical physiotherapy research support her recognition for the Best Researcher Award under the Scientific World Research Awards program.[5]

Conclusion

The academic activities of Sedanur Güngör reflect a developing contribution to rehabilitation sciences and public health research through clinically focused physiotherapy investigations and collaborative scholarly work.

References

  1. ORCID. (2026). Sedanur Güngör researcher profile and scholarly works.
    https://orcid.org/0000-0002-3943-5365?lang=en
  2. Elsevier. (n.d.). Scopus author details: Sedanur Güngör, Author ID 59374926100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59374926100
  3. Güngör, S., et al. (2026). Virtual goniometric measurement in patients with hand and forearm injuries.
    DOI: https://doi.org/10.1080/09638288.2026.2663904
  4. Güngör, S., et al. (2026). Investigation of the effect of radial nerve mobilization on pain, function, and grip strength.
    DOI: https://doi.org/10.1016/j.physio.2026.102328
  5. Scientific World. (2026). Scientific World Research Awards official website.
    https://scientificworld.net/

Jack Ng Kok Wah | Public Health | Best Health Science Research Award

Published on by Scientific World Research Awards

Dr. Jack Ng Kok Wah | Public Health | Best Health Science Research Award

Senior Lecturer | Multimedia University | Malaysia

 

Dr. Jack Ng Kok Wah’s research lies at the intersection of artificial intelligence (AI), surgical innovation, and biomedical engineering, with a strong emphasis on developing AI-driven robotic systems that enhance precision, reduce surgical risks, and revolutionize patient outcomes. His body of work demonstrates a deep commitment to integrating machine learning algorithms and intelligent automation into modern surgical practices, thereby addressing one of the most critical needs in healthcare—precision and safety in complex procedures.A significant aspect of his research explores how robotic technologies and AI-assisted decision systems can transform traditional surgical approaches. By leveraging real-time data analytics, sensor fusion, and computer vision, Dr. Wah contributes to the design of systems that support surgeons in performing minimally invasive procedures with unprecedented accuracy. His work not only advances the technical frontiers of robotic surgery but also examines the broader ethical, clinical, and operational implications of implementing such technologies in real-world healthcare environments.Beyond surgical robotics, Dr. Wah’s research interests extend to digital health innovation, medical imaging, and intelligent clinical systems. He investigates how data-driven approaches can improve diagnostic accuracy, predict patient outcomes, and personalize treatment protocols. Through his publications, he emphasizes the transformative potential of AI to bridge gaps between human expertise and machine efficiency, promoting a synergistic model of healthcare delivery that enhances both safety and accessibility.With a growing citation record and interdisciplinary collaborations, Dr. Wah continues to contribute to the advancement of next-generation medical technologies that merge computing power with human insight. His vision encapsulates a future where AI and robotics are not merely tools but trusted partners in surgical and clinical decision-making, ultimately redefining standards of care in the medical field. His scholarly contributions reinforce his standing as a forward-thinking researcher committed to shaping the future of intelligent healthcare systems and precision surgery.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate 

Featured Publications

  1. Wah, J. N. K. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article No. 47).
    Citations: 39

  2. Wah, J. N. K. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.
    Citations: 29

  3. Wah, J. N. K. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.
    Citations: 13

  4. Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis & model fit measures. In Normality of Data Distribution Analysis & Model Fit Measures.
    Citations: 12

  5. Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.
    Citations: 7

Dr. Jack Ng Kok Wah envisions a future where artificial intelligence and robotic systems seamlessly integrate into healthcare, enabling safer, smarter, and more precise surgical interventions. His pioneering research drives innovations that enhance patient outcomes, optimize clinical workflows, and redefine the frontiers of intelligent medicine.