AI-Supported Functional Pain Phenotyping in Low Back Pain Using Sensor-Based Gait and Neuromuscular Biomarkers.
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DOI: 10.3390/s26165178
Bibliographic record from the original reports
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Koltermann JJ, Floessel P, Wunderlich FC, Funke JJ, Kaplick H, Disch AC. AI-Supported Functional Pain Phenotyping in Low Back Pain Using Sensor-Based Gait and Neuromuscular Biomarkers. Sensors (Basel, Switzerland). 2026;26(16):5178. DOI 10.3390/s26165178 Source examined: Complete article text.
Conditions: COND-LBP Low back pain
Scoped audit evidence
These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.
Low back pain
- current evidence level: fulltext
Source locator: Methods; Results; Limitations
Low back pain
- verification level: fulltext
36 matched participants, primary 25 after excluding 11 mild-pain participants; 15 features, LOSO; accuracy.780, balanced.731; slope.089. Report correctly treats configuration selection and poor calibration as exploratory limits.
Source locator: Methods; Results; Limitations
Reports citing this source
- Gait assessment and prognosis in low back pain · reference 12 · original reference
Update record
- 2026-10-03: Created from the supplied reports and final scoped audit. New evidence should be appended with source version, access date, exact locator and affected report links.
Updating the wiki · Evidence and status guide