Narrative: Artificial intelligence (AI) is transforming healthcare, offering tools for imaging analysis, decision support, documentation, and practice operations.
Machine learning has achieved strong performance in specific spine imaging tasks and can integrate patient history, imaging, and other clinical variables to support risk stratification and care planning.
I argue that the foundation of Chiropractic care rests not in algorithms, but in the skilled, compassionate touch of human hands and clinical reasoning developed over years of practice.
Our hands are richly endowed with finely discriminating receptors which through layered palpation from superficial to deep structures build us a 3D anatomical map with minimal effective pressure to optimise mechanoreceptor activation. With focused attention and avoidance of unnecessary pain that can induce guarding, we can build a predictive model to guide the intent of our adjustment.
Author keywords: Chiropractic; AI; palpation; touch; touch receptors; 3D model.
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