Spine care remains one of the most challenging and resource-intensive fields in modern healthcare. Spinal disorders, including degenerative diseases, deformities, trauma, and chronic back pain, represent a significant burden on healthcare systems worldwide. According to global health reports, over 540 million people suffer from spine-related conditions. The prevalence of conditions like osteoporosis, arthritis, herniated discs, and scoliosis is increasing due to aging populations, sedentary lifestyles and rising obesity rates.

Despite advancements in medical technologies and surgical techniques, spine care faces systemic inefficiencies that hinder optimal outcomes. These challenges include poor patient triage, inconsistent surgical strategies, fragmented post-operative follow-ups, and limited access to shared scientific knowledge. Furthermore, the siloed nature of healthcare data limits the potential of AI and machine learning algorithms to deliver impactful insights. This fragmented approach not only delays treatment but also results in significant financial and emotional costs for patients.

SpineDAO emerges as a decentralized science (DeSci) initiative designed to address the critical pain points in spine care. By leveraging decentralized technologies, AI, and a collaborative ecosystem of surgeons, researchers and patients, SpineDAO aims to create scalable, transparent, and efficient spinal solutions. Through its decentralized model, SpineDAO empowers stakeholders across the healthcare value chain to contribute, share, and benefit from data-driven innovations.