aceIntegrity of artificial intelligence and machine learning evidence in spine surgery: a critical appraisal of systematic reviews
Objective Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into spine surgery across diagnostic, perioperative, and predictive applications, driven by their potential to enhance accuracy, efficiency, and patient safety. As this literature on AI and ML in spine surgery rapidly expands, concerns have emerged regarding selective reporting and overemphasis on algorithmic performance without adequate attention to transparency, bias, or clinical applicability. Such practices raise the…
Spin appeared in 86.5% of abstracts of AI and machine learning spine surgery systematic reviews, overstating conclusions and casting doubt on how reliably clinicians can interpret the evidence.
Evidence
- Peer-reviewedJournal of Neurosurgery: Spine2026-10-09
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Truvace Impact Record TRV-2026-1662, v1: “Integrity of artificial intelligence and machine learning evidence in spine surgery: a critical appraisal of systematic reviews.” Truvace, 2026-10-17. /record/TRV-2026-1662 (accessed at citation time). sha256 8411fa442e5462a3…
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