Call for papers - Artificial intelligence in orthopedics

Guest Editors

Umile Giuseppe Longo, MD, MSc, PhD, Campus Bio-Medico University, Italy
Kristian Samuelsson, MD, PhD, University of Gothenburg, Sweden

Submission Status: Open | Submission Deadline: 17 March 2025

BMC Musculoskeletal Disorders is calling for submissions to our Collection on Artificial intelligence (AI) in orthopedics. This Collection seeks to showcase research on AI applications in fracture detection, predictive models for postoperative complications, AI-assisted surgical navigation systems, personalized treatment strategies, and more. By advancing our understanding of AI in orthopedics, this Collection aims to drive innovation, improve clinical decision-making, and enhance patient care in the field of musculoskeletal disorders.

New Content Item This Collection supports and amplifies research related to SDG 3: Good health and well-being, SDG 9: Industry, innovation, and infrastructure, SDG 10: Reduced inequalities.

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Meet the Guest Editors

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Umile Giuseppe Longo, MD, MSc, PhD, Campus Bio-Medico University, Italy

Dr Longo is full professor and orthopedic surgeon at the Campus Bio-Medico University Hospital in Rome. He specializes in primary and revision joint replacement surgery, arthroscopic surgery, and sports traumatology. Dr Longo is the Head of the Sports Traumatology Unit and serves as Vice Scientific Director at the Hospital. He is the head of the biomechanics laboratory of the hospital. He has made significant contributions to the field of orthopedic research. He has received multiple awards for his research from orthopedic societies all around the world.

Kristian Samuelsson, MD, PhD, University of Gothenburg, Sweden

Dr Samuelsson has extensive clinical and research experience in the field of orthopedics and sports medicine. Alongside his academic experiences, Dr Samuelsson’s involvement in the technology sector has led to recent involvement in interdisciplinary projects spanning the healthcare, computer science, and medical industries. His research focuses broadly, particularly on sports-related musculoskeletal injuries and evidence-based treatments for soft-tissue knee injuries. He collaborates with international and national institutions like the University of Pittsburgh and Chalmers University of Technology. His collaborative research projects aim to explore the innovative use of braces, cutting-edge imaging technologies, and the implementation of artificial intelligence in surgical procedures.

About the Collection

BMC Musculoskeletal Disorders welcomes submissions to our Collection on Artificial intelligence (AI) in orthopedics. This Collection aims to elucidate the transformative potential of AI in revolutionizing the diagnosis, treatment, and management of musculoskeletal disorders.

Orthopedic care stands at the precipice of a paradigm shift, driven by advancements in AI technologies. From image analysis to predictive modeling, AI offers unprecedented opportunities to enhance clinical decision-making, optimize surgical outcomes, and personalize patient care.

We invite researchers, clinicians, and experts in AI and orthopedics to contribute original research, reviews, and perspectives addressing the diverse applications of AI in musculoskeletal health. Topics of interest include, but are not limited to:

Diagnostic Imaging: Explore the integration of AI algorithms in radiographic, MRI, and CT imaging for accurate and efficient diagnosis of orthopedic conditions, including fractures, osteoarthritis, and spinal disorders.
Predictive Analytics: Investigate the use of machine learning and predictive modeling to forecast disease progression, anticipate treatment responses, and mitigate surgical risks in orthopedic patients.
Surgical Planning and Navigation: Examine the role of AI-driven tools in preoperative planning, intraoperative guidance, and robotic-assisted surgery to optimize surgical precision and patient outcomes.
Rehabilitation and Monitoring: Discuss innovative AI-driven approaches for monitoring patient recovery, optimizing rehabilitation protocols, and preventing postoperative complications in orthopedic rehabilitation settings.
Clinical Decision Support: Evaluate the implementation of AI-powered decision support systems to aid orthopedic clinicians in treatment selection, resource allocation, and care coordination.
Telemedicine and Remote Monitoring: Assess the integration of AI technologies in telemedicine platforms and remote monitoring devices to expand access to orthopedic care and improve patient engagement.

Contributions to this Collection will not only advance our understanding of the synergistic relationship between AI and orthopedics but also pave the way for transformative innovations with the potential to revolutionize musculoskeletal healthcare delivery.

This Collection supports and amplifies research related to SDG 3: Good health and well-being, SDG 9: Industry, innovation, and infrastructure, and SDG 10: Reduced inequalities.

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence in orthopedics" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.