*Speakers and organizers are subject to change.
Organizers: Xiaodu Wang, PhD and Melissa Knothe Tate, PhD
The AI and deep/machine learning technologies have been gaining more and more attentions in the biomedical research communities. In many areas, image based deep/machine learning technology has shown significant successes in solving challenging problems that would otherwise be difficult or impossible for the existing technologies to tackle. For example, AI based diagnostic tools of skin cancers have achieved unprecedented success in clinical diagnosis of the diseases. However, researchers in the field of orthopaedics are a little behind our colleagues, which is manifested by the fact that out of nearly three thousands ORS abstracts in 2020, only fifteen were related to AI and machine learning. The major reason for this paucity of AI technologies in orthopaedic research and practices is largely due to the lack of understanding of the technologies and lack of direct interactions with AI/machine learning experts. This timely workshop will address the urgent need of the orthopaedic research community by introducing the basic concepts and techniques of AI and deep/machine learning to ORS members. We expect that the powerful AI tools will bring in paradigm shifting changes in both basic orthopaedic research and clinical practices.
AI and Machine Learning in Health Care
Sastry Chilukuri, MBA, Medidata
Perks and Perils of Machine Learning Approaches in Human Subjects Research
Melissa Knothe Tate, PhD, University of New South Wales
DXA Image Based Deep Learning of Trabecular Bone Quality
Xiaodu Wang, PhD, University of Texas – San Antonio
Deep Learning to Extract Degenerative Joint Diseases Imaging Biomarkers
Valentina Pedoia, PhD, University of California San Francisco
Organizers: Joseph Crisco, PhD and Michael Rainbow, PhD
Although videoradiography and computed tomography (CT) approaches are being utilized to study biomechanics of the joints and implants, current approaches remain time-consuming and expensive. This workshop is the first step toward the goal of assembling a consortium of investigators to discuss the current challenges and to critique a newly developed open-source software approach to address these challenges.
Videoradiography Tracking (Model-based)
Jillian Beveridge, PhD – Cleveland Clinic
Videoradiography Tracking (Marker-based)
Michael Rainbow, PhD – Queen’s University
Sequential and weight-bearing CT Scanning
Joseph Crisco, PhD – Brown University and Rhode Island Hospital
Videoradigraphy and Morphology Assessment with Statistical Shape Modeling Based on Weight-bearing CT
Amy Lenz, PhD – University of Utah
4D CT Scanning
Emily Lalone, PhD -Western University
XGen – Autoscoper, an Open-source Software, for Measuring Skeletal and Implant Arthrokinematics In-vivo
Bardiya Akhbari, MS- Brown University
Organized by ORS Women’s Leadership Forum
Organizers: Karen Kruger, PhD and Yaxia Zhang, MD, PhD
Machine learning (ML) is the study of computer algorithms that can learn complex relationships or patterns from empirical data and make accurate decisions. Within musculoskeletal medicine, ML has proven influential in applications including understanding biomechanics, orthopaedic implant design, and, prediction of progression of osteoarthritis. There is a need to understand what problems in medicine might benefit from such learning approaches, identify what obstacles to changing the current practice of medicine through statistical learning approaches, and discuss how these might be overcome.
Artificial Intelligence in Imaging Interpretation
Hollis Potter, MD, Hospital for Special Surgery
Deep Learning Applied to Gait Data: Better Prediction of Outcomes Through Reduced Data Representations
Mark Alberts, PhD, University of North Texas
Enhancing Utility of Musculoskeletal Simulations through Machine Learning Techniques
Jennifer Nichols, PhD, University of Florida
Organizers: Geoffrey Ng, PhD and Michael Harris, PhD
Developmental dysplasia of the hip (DDH) is characterized by an insufficient acetabular coverage around the femoral head and remains an ongoing challenge in orthopaedics. The pathomechanical process is associated with hip instability, ligament laxity, and sometimes frank dislocation; which result in adverse joint loading, early hip degeneration, and an increasing number of young adult hip surgeries. We know that dysplasia causes substantial differences in joint function, mobility, and stability. The orthopaedic biomechanics community has been committed to examining the pathomechanisms through various multidisciplinary approaches and biomechanics research methods (e.g., in vivo, in silico, in vitro). However, with the large spectrum of methods, it is unclear how we can progress and link each individual approach to validate our results, translate findings, and establish the much-needed biomechanical metrics and testing standards to refine our understanding of hip dysplasia and instability mechanics.
Dysplasia and Functional Analysis of Hip Instability
Andrew Anderson, PhD, University of Utah
Musculoskeletal Modelling and Statistical Simulations
Michael Harris, PhD, Washington University
Computational Simulations to Predict Joint Stresses
Jessica Goetz, PhD, University of Iowa
In-vitro Physical Experiments and Surgical Lab Simulations
Geoffrey Ng, PhD, Imperial College London
Bridging Biomechanics and Clinical Observations to Refine Our Understanding of Dysplasia
Paul Beaule, MD, University of Ottawa
Organized by: ORS Women’s Leadership Forum
Organizers: Lauren Vernon, PhD and Francisco Rubio, MD
The interosseous ligament (IOL) is an important soft tissue stabilizer of the forearm and is responsible for resistance to shear stress. This workshop will feature a review of IOL anatomy with a focus on how to improve surgical outcomes through an understanding of IOL biomechanics. This info will be useful in implant development and will help us understand how to stabilize soft-tissue injuries.
Proximal Oblique Band Biomechanics and its Effects on Radial Head Stability
Deana Mercer, MD, University of New Mexico
Distal Oblique Band on its Effect on Distal Radio Ulnar Joint Stability
Nathan Hoekzema, MD, University of California, San Francisco – Fresno
Central Band and its Stabilizing Effect to Shear Stress
Jorge Orbay, MD, Miami Hand and Upper Extremity Institute
Overview of Forearm Biomechanics as it is Related to the Interosseous Ligament
Robert Gray, MD, NorthShore Medical Group
Organizer: Bart Lubberts, MD, PhD
Portable ultrasound technology has the potential to revolutionize access to medical imaging, changing future approaches to diagnosing, monitoring, and treating disease. However, relatively few clinicians and scientists are aware of the potential benefits of this technology if applied in musculoskeletal disease. This workshop will answer three questions: 1) Why should portable ultrasound be used in musculoskeletal disease? 2) For what musculoskeletal illnesses is portable ultrasonography applicable? and 3) how should we use this technology in musculoskeletal diagnosis and treatment? This workshop is designed to create awareness about the use of portable ultrasound among clinicians, engineers, and scientists as an important first step in new research initiatives using this technology, and in making musculoskeletal medical imaging accessible to everyone.
Portable Ultrasound, an Opportunity to Democratize Healthcare
Bart Lubberts, MD, PhD, Harvard Medical School
Use of Portable Ultrasound for the Diagnosis and Treatment of MSK Illnesses
Noortje Hagemeijer, MD, University of Amsterdam
Live In-vivo Assessment of the Ankle and Syndesmosis
Jirawit Saengsin, Chiang Mai University
Live In-vivo Assessment of the Knee
Rohan Bhimani, MD, MBA, Harvard Medical School
How to Use Portable Ultrasound for Hand and Wrist Pathology
Jonathan Lans, MD, PhD, Massachusetts General Hospital
Organizer: Chunfeng Zhao, MD
Exosomes, a class of extracellular vesicles that range from 40-120 nm in size produced from almost any cell types, has been studied for their highly regenerative potentials. As the novel therapeutics, it is critical to understand the mechanisms of exosome pathways and clinical application potentials in the orthopedic field.
Purified Exosome Products in Musculoskeletal Regenerative Medicine
Steven Moran, MD, Mayo Clinic
Extracellular Vesicle-mediated Cell-cell Communication in Bone
Sarah Dallas, PhD, University Missouri – Kansas City
Muscle-Derived Exosomes in Musculoskeletal Aging
Mark Hamrick, PhD, Medical College of Georgia
Organized by: South Korea (Guest Nation)
Organizers: Jung Ho Park, MD and Tae Joon Cho, MD, PhD
The speakers will discuss Bone, Cartilage and Tendon and Ligament.
Bone
Shin Yoon Kim, MD, PhD, Kyungpook National University
Cartilage
Chul Won Ha, MD, PhD, Samsung Medical Center
Tendon and Ligament
Chris Jo, MD, PhD, Seoul National University
Organizers: Josh Wenke, PhD and Chelsea Bahney, PhD
One of the main causes of poor fracture healing is infection. Unfortunately, bone regeneration and infection research are typically approached independently and viewed as two different disciplines. Here we aim to bring these two groups together in an educational workshop to promote research into the basic and translational science that will address the clinical need of delayed fracture healing due to infection.
Clinical Burden and Current Standards of Care
Zachary Working, MD, Oregon Health and Science University
Understanding the Pathophysiology of Infected Nonunions
Laura Certain, PhD, MD, University of Utah
Preclinical Models to Assess Emerging Therapies
Josh Wenke, PhD, USAISR
Approaches to Regenerate Bone in Contaminated Defects
Andres Garcia, PhD, Georgia Tech
Organizers: Susan Bukata, MD and Prism Schneider, MD, PhD
Currently, no other society or organization exists that so tightly integrates scientist in multiple fields with research clinicians that can run the translational trials. We believe there is an opportunity to create networks motivated to develop clinical trial that advance the novel basic science presented at ORS. This workshop aims to provide insight and tools to researchers that will improve translational research design through didactic presentation from clinician and industry scientists with experience in multi-center clinical trials. This workshop hopes to be a first step in establishing ORS as the premier society for the de novo establishment of collaborative multi-center clinical trials and respected home for presentation of prospective clinical studies in musculoskeletal research.
Opportunities to Advance Clinical Practice and Tips for Establishing Protocol Consensus
Susan Bukata, MD, University of California Los Angeles
Designing Basic Science for Clinical Translation
Michael Ominsky, PhD, Radius Health, Inc.
Pitfalls and Lessons Learned from Recent Multi-center Fracture Healing Trials
Saam Morshed, MD, University of California San Francisco
Trials in Rare Bone Diseases
Laura Tosi, MD, Children’s National Hospital
Cross-Border Trials, Collaborations, and Registries
Mohit Bhandari, MD, McMaster University
Organizers: Alejandro Espinoza, PhD and Mathew T. Mathew, PhD
Additive manufacturing (AM, also known as 3D printing) is a new area with the potential of wide applications in medical devices and implants in orthopedics. However, unless one is a practitioner using these processes, a thorough understanding of the fundamentals of 3D printing, different manufacturing methods, and advantages in clinical application and potential drawbacks, is hard to come by. We will focus on educating the audience on the various aspects of 3D printing technology, including implant safety and characterization and will address the knowledge gap on material characterization and what is possible with newer design and manufacturing methods available today.
3D Printing in Medicine – A Small Industrial Revolution in the Making?
Gene Kulesha, ONKOS Surgical
Additively Manufactured Metal Implants: 10 Year Clinical History A Technology Maker’s Perspective
Laura Gilmour, EOS North America
The Right Surface for Bone Growth? Challenging the “Rougher is Better” Mentality for Osseointegrative Additive Surface Design
Matthew Shomper, Tangible Solutions
Lessons from Retrieval Implants: Differences in Additive vs. Conventional Manufactured Metallurgy
Robin Pourzal, PhD, Rush University
