AI in Biomechanics: Implants Testing, Showcasing the Expertise of the AO on this

Description

The presentation from the ISTA 2025 conference held in Rome, began by introducing the first speaker, Professor Boyko Gueorguiev, the ERS president, who spoke about the application of artificial intelligence (AI) in biomechanics and implant testing during a session in Davos. He emphasized the focus on AI's role in detecting thoracolumbar trauma fractures using imaging technologies, primarily involving low misdiagnosis rates through AI-driven methods.



Professor Gueorguiev detailed a study design that utilized 362 patient radiographs, categorizing images of fractures versus non-fractures. By employing deep learning convolutional neural networks (CNNs), the presentation highlighted the efficiency of AI in accurately identifying vertebral fractures, marking improvements in patient diagnosis and care. Results indicated that the AI model could significantly enhance detection accuracy, supporting clinical assessments and interventions.



The later part of the talk showcased the utilization of AI for anatomical landmarking in spinal biomechanics and fracture management, demonstrating the efficiency gains in identifying key anatomical features which would then facilitate the development of statistical shape models. These models aid in simulating 'virtual test kits' for assessing implant configurations and fracture patterns, thus enhancing the effectiveness of treatments and surgical plans.



Professor Gueorguiev concluded by summarizing the vital role AI plays not only in diagnosis but also in pre-surgical planning and the creation of advanced biomechanical models, reinforcing the importance of such technologies in improving overall patient outcomes.

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