First published 9/29/2026, 6:18:15 AM · Last updated 9/29/2026, 6:18:15 AM

Initial screening positivity for suspected scoliosis and machine learning-assisted risk prioritization: a school-based cross-sectional study in Wuhai, Inner Mongolia, China

Journal article reporting initial screening positivity for suspected scoliosis and use of machine learning for risk prioritization from a school-based cross-sectional study in Wuhai, Inner Mongolia, China. Publisher is given as Frontiers Media SA and no additional event details were included in the supplied excerpt.

Categories: science-and-space, public-health

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 6/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 2/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 2/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 7/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The article documents school-based scoliosis screening and machine-learning risk prioritization for a local student population.

Location

Sources

Initial screening positivity for suspected scoliosis and machine learning-assisted risk prioritization: a school-based cross-sectional study in Wuhai, Inner Mongolia, China

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