Rapid and precise identification of musculoskeletal conditions is essential for effective treatment, and advances in orthopedic diagnostics have significantly improved accuracy and efficiency. High-resolution imaging technologies such as 3D MRI, low-radiation CT scans, and ultra-high-frequency ultrasound provide detailed insights into bone, joint, and soft tissue abnormalities. Additionally, molecular and genetic markers are being integrated into diagnostic protocols to detect early signs of degenerative diseases like osteoarthritis. Artificial intelligence is further revolutionizing the field by enhancing image interpretation, allowing for early detection of fractures, tumors, and infections with greater precision. Wearable biomechanical sensors and motion analysis systems are also transforming patient assessment, enabling continuous monitoring of movement patterns for better treatment planning. As orthopedic diagnostics continue to evolve, the combination of advanced imaging, AI-driven analysis, and biomarker research is paving the way for more personalized and effective musculoskeletal care.
Title : The effect of OTC N-acetyl-cysteine on cobaltemia and cobalturia from cobalt-chromium orthopedic implants
Stephen S Tower, University of Alaska Anchorage, United States
Title : A data driven approach to prehabilitation and rehabilitation for hip and knee replacement patients
Diana Hodgins, Dynamic Metrics Ltd, United Kingdom
Title : AI-Driven infrared imaging and telerobotics in orthopedics: Enhancing diagnostics, surgical precision, and postoperative care
Marcos Brioschi, American Academy of Thermology, United States
Title : Revolutionizing orthopedics: The future of biomechanics through artificial intelligence
Moataz Eltoukhy, University of Miami, United States
Title : The etiological diagnosis of torticollis
Ali Al Kaissi, Ilizarov Institute, Austria
Title : Selective denervation for persistent knee pain after total knee arthroplasty: Long-term outcomes
Shaomin Shi, Medical College of Wisconsin, United States