Samer G. Salman | Orthopaedic Surgery | Innovative Research Award

Published on by Research Scientist

Innovative Research Award

Samer G. Salman
Baylor College of Medicine, United States

Samer G. Salman
Affiliation Baylor College of Medicine
Country United States
Scopus ID 60388229400
Documents 12
Citations 11
h-index 2
Subject Area Orthopaedic Surgery
Event International Research Scientist Awards
ORCID 0009-0007-9897-4071

The Innovative Research Award article highlights the academic profile and research activities of Samer G. Salman of Baylor College of Medicine. His work is situated within orthopaedic surgery and related clinical research areas, with interests including predictive modeling, artificial intelligence applications, and outcomes research in musculoskeletal care.

Abstract

This article presents a concise academic overview of Samer G. Salman in relation to the Innovative Research Award. The profile summarizes his institutional affiliation, research interests, selected scholarly works, and publication activity in orthopaedic surgery, spine research, predictive analytics, and artificial intelligence applications in clinical care.

Keywords

Orthopaedic surgery; spine research; artificial intelligence; predictive modeling; clinical outcomes; musculoskeletal research; systematic review; medical decision-making.

Introduction

Samer G. Salman is affiliated with Baylor College of Medicine and has pursued research activities that intersect orthopaedic surgery, clinical outcomes research, predictive model development, and artificial intelligence. His scholarly work reflects an interest in improving patient care through data-informed approaches and translational clinical research.

Research Profile

The researcher’s profile includes contributions to orthopaedic and spine-related literature, with publications addressing risk prediction, surgical outcomes, artificial intelligence in spine care, and systematic reviews of clinical interventions. The profile also reflects collaboration across multidisciplinary research teams.

Research Contributions

Samer G. Salman’s research contributions are centered on advancing orthopaedic surgery through the integration of clinical research, predictive analytics, and artificial intelligence. His work explores evidence-based approaches to improving patient outcomes by developing predictive models, conducting systematic reviews, and evaluating innovative technologies for musculoskeletal disorders and spine care. His research also encompasses osteoporosis management, orthopedic trauma, medical imaging, and machine learning applications, reflecting a multidisciplinary approach that bridges clinical practice with data-driven healthcare solutions. Through collaborative investigations published in peer-reviewed journals, he contributes to the growing body of knowledge supporting informed clinical decision-making and the continued advancement of orthopedic and spine research.[2]

Publications

Samer G. Salman has established a developing publication record in orthopaedic surgery, spine research, artificial intelligence, predictive analytics, and clinical outcomes research through collaborations in multidisciplinary medical research. His scholarly contributions include studies such as The Fracture Orthopedic Risk of Non-home Discharge (FORD) Score, Long-term Outcomes of Lumbar Total Disc Arthroplasty and Hybrid Constructs, Risk Prediction in Spine Surgery, Deep Learning-Based Multi-Class Pediatric Wrist Fracture Subtype Classification, and Sequential Versus Step-Therapy Approaches for Osteoporosis Management in Orthopedic Subspecialties. Collectively, these publications demonstrate a strong emphasis on evidence-based medicine, systematic reviews, predictive modeling, and artificial intelligence applications that support improved surgical decision-making, patient care, and innovation in musculoskeletal research.[3]

Research Impact

The research portfolio demonstrates sustained interest in orthopaedic innovation through predictive analytics, artificial intelligence, systematic evidence synthesis, and patient-centered clinical outcomes. The published work reflects interdisciplinary collaboration and contributes to emerging applications of data-driven technologies in musculoskeletal medicine.[1]

Award Suitability

Based on the available academic profile, publication record, and research interests, Samer G. Salman demonstrates active engagement in orthopaedic surgery research with particular emphasis on predictive modeling and artificial intelligence applications. These activities align with the objectives of the International Research Scientist Awards in recognizing emerging scientific contributions.[1]

Conclusion

Samer G. Salman has established a developing research profile focused on orthopaedic surgery, spine research, artificial intelligence, and clinical outcome prediction. Through multidisciplinary collaborations and evidence-based investigations, his work contributes to improving decision-making and advancing patient care within musculoskeletal medicine.[2]

References

  1. Salman, S. G., Phadke, R., Carlin, T., Rana, A., Dawson, J. R., Fitzgerald, C. A., Seger, C. P., Zielinski, M. D., & Dumas, R. P. (2026). The fracture orthopedic risk of non-home discharge (FORD) score: A novel bedside predictive tool for non-home discharge in orthopedic trauma patients. Injury.
    https://doi.org/10.1016/j.injury.2026.113301
  2. Salman, S. G., Phadke, R., Kumar, R., Gill, K., Vaja, S., Lee, N. J., & Bono, C. (2026). Long-term outcomes of lumbar total disc arthroplasty and hybrid constructs: A systematic review. The Spine Journal.
    https://doi.org/10.1016/j.spinee.2026.06.010
  3. Salman, S., Phadke, R., Kumar, R., Momin, A., & Tavakkoli, A. (2026). Risk prediction in spine surgery: A scoping review of traditional models, artificial intelligence, and the challenge of clinical translation. Spine Deformity.
    https://doi.org/10.1007/s43390-026-01365-3
  4. Phadke, R. A., Salman, S. G., Salman, Z. G., Yedupati, S. M., Ong, J., Tavakkoli, A., Galhotra, S., Tripuraneni, A., & Rizkalla, J. (2026). Deep learning-based multi-class pediatric wrist fracture subtype classification: A pilot study comparing convolutional neural network architectures. Journal of Imaging.
    https://doi.org/10.3390/jimaging12070307
  5. Salman, S. G., Phadke, R., Burnett, J., & Walsh, J. (2026). Sequential versus step-therapy approaches for osteoporosis management in orthopedic subspecialties. Current Osteoporosis Reports.
    https://doi.org/10.1007/s11914-026-00967-0

Dr Charles Pioger | Orthopaedic Surgery | Best Researcher Award

Published on by Research Scientist

Dr Charles Pioger | Orthopaedic Surgery | Best Researcher Award

Medical Doctor at Ambroise Paré Universitary Hospital , France

Charles Pioger, born on August 13, 1991, is a French orthopedic surgeon based in Paris. With extensive training and a strong research focus, he is dedicated to advancing the field of orthopedic surgery. 📍

Profile

Scopus

Education 🎓

Charles completed his medical graduation at the University of Lyon (2009-2015) and further specialized with a Post Graduation in Orthopedic Surgery at the University of Paris (2015-2021). His PhD studies are ongoing at the University of Toulouse III, focusing on the biological aspects of orthopedic treatments.

Experience 💼

He has held various prestigious positions in orthopedic surgery, including his current role at the University Hospital of Ambroise-Paré since November 2022. His fellowship experiences include clinical and research roles in Luxembourg and expertise in sports medicine and knee surgery.

Research Interest 🔬

Charles’s research primarily focuses on sports injuries, knee reconstruction, and the risk of septic arthritis in professional athletes. His work combines clinical practice with innovative research methodologies to enhance patient outcomes. 📊

Award 🏅

He was awarded the Silver Medal with “Very Honorable Mention” for his doctoral thesis, demonstrating his commitment to excellence in research and clinical practice.

Teaching Field 📚

From 2017 to 2022, Charles taught anatomy and arthroscopy to surgical residents, fostering the next generation of orthopedic surgeons through his educational efforts. 👨‍🏫

Research Focus 🔍

His current research focuses on the risk factors associated with septic arthritis after anterior cruciate ligament reconstruction, utilizing both retrospective analyses and literature reviews to guide clinical practices.

Future Focus Contributions 🚀

Charles aims to contribute to interdisciplinary collaborations in orthopedic research, enhancing the integration of new technologies and methodologies in clinical practice to further improve patient care and surgical outcomes. 🌐

Top Noted Publications

  • Ibañez, M. et al. (2024). Nonanatomic Posteromedial Bundle Augmentation of the Posterior Cruciate Ligament after Hyperextension Trauma. Arthroscopy Techniques.
  • Pioger, C. et al. (2024). Secondary Meniscectomy Rates and Risk Factors for Failed Repair of Ramp Lesions Performed at the Time of Primary ACL Reconstruction: An Analysis of 1037 Patients From the SANTI Study Group. American Journal of Sports Medicine, 52(8), pp. 1944–1951.
  • Farinelli, L. et al. (2024). Increased Intra-Articular Internal Tibial Rotation Is Associated With Unstable Medial Meniscus Ramp Lesions in ACL-Injured Athletes: An MRI Matched-Pair Comparative Study. Arthroscopy, Sports Medicine, and Rehabilitation.
  • Siboni, R. & Pioger, C. et al. (2024). Presentation of an intraosseous suspensory fixation technique for pediatric and adult ACL reconstruction. Orthopaedics and Traumatology: Surgery and Research.
  • Siboni, R. & Pioger, C. et al. (2024). Presentation of an intra-osseous suspensory fixation technique for pediatric and adult ACL reconstruction. Revue de Chirurgie Orthopedique et Traumatologique.
  • Lutz, C. et al. (2024). Combined ACLR and lateral extra-articular tenodesis with a continuous iliotibial band autograft is a viable option in a population of athletes who participate in pivoting sports. Knee Surgery, Sports Traumatology, Arthroscopy.
  • Sonnery-Cottet, B. et al. (2024). Incidence of and Risk Factors for Arthrogenic Muscle Inhibition in Acute Anterior Cruciate Ligament Injuries: A Cross-Sectional Study and Analysis of Associated Factors From the SANTI Study Group. American Journal of Sports Medicine.