Artificial Intelligence and Machine Learning in Spine Care

Artificial intelligence (AI) and machine learning (ML) are transforming the field of spinal diagnostics, treatment planning, and rehabilitation. This session will explore how AI-driven imaging tools are enhancing the accuracy of spinal disorder diagnoses, including scoliosis detection, disc degeneration analysis, and spinal tumor identification. Experts will discuss predictive analytics for personalized treatment planning, AI-powered robotic-assisted surgeries, and deep learning models that improve spinal injury prognosis. The session will also highlight AI-based wearable technologies that monitor posture, movement, and spinal stress in real time, offering data-driven insights for injury prevention and rehabilitation. Additionally, discussions will include AI’s role in automating patient assessments, optimizing spinal fusion outcomes, and advancing virtual reality (VR)-based therapy for chronic pain management. Ethical considerations, data privacy concerns, and the integration of AI with traditional spinal treatments will also be examined.

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