SpineBench + SpineMed-450k: level-aware AI for spine care research

Fine-grained spine reasoning needs fine-grained data.

SpineMed introduces SpineMed-450k—the first large-scale dataset explicitly designed for vertebral-level reasoning across X-ray, CT, and MRI—plus SpineBench, a clinically grounded benchmark. Using clinician-in-the-loop curation and traceable instructions, the ecosystem supports Q&A, multi-turn consultations, and report generation.

Why it matters: Evaluations show many advanced vision-language models struggle with level-specific tasks. A model fine-tuned on SpineMed-450k improved consistently across identification, pathology, and planning, with clinicians noting clearer, more practical outputs.

It’s like going from a city map to a building blueprint—precision unlocks better decisions. 🧭🦴🧠

Explore the benchmarks and see where models excel—or fail—and how structured data can close the gap.

Paper: http://arxiv.org/abs/2510.03160v1

Register: https://www.AiFeta.com

Paper: http://arxiv.org/abs/2510.03160v1

Register: https://www.AiFeta.com

#MedicalAI #RadiologyAI #ComputerVision #HealthcareAI #Benchmarking #LVLM #Dataset #Spine

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