ArticleNorth American Spine Society journal2025
The future is now: How AI is reshaping spine care.
Article in North American Spine Society journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07733752 (When AI Is the First Clinician), which is not on this map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
When AI Is the First Clinician: Impact of Pre-Visit AI Use on Presentation, Diagnostic Expectations, and Shared Decision-Making in Spine Physical Therapy
Who cites it
2 citing papers in PubMed.
- Bone Fusion in the Cervical Spine: Where Are We Now?Bioengineering (Basel, Switzerland) · 2026Review
- A Review of Finite Element Analysis in Spine Surgery Decision-Making.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Artificial intelligence (AI) is rapidly reshaping spinal care, transitioning from experimental algorithms to operational tools embedded in clinical workflows. This narrative review explores the evolving role of AI across the spine care continuum, including diagnostic imaging, surgical planning, intraoperative navigation, predictive analytics, and digital therapeutics. Methods: Using a mixed-methods approach, we synthesized insights from peer-reviewed literature, regulatory documents, press releases, and grey sources published between 2017 and 2025. Results: AI-enabled imaging platforms now assist in detecting spinal pathologies and extracting quantitative metrics such as disc heights and Cobb angles, improving diagnostic consistency and reducing inter-rater variability. In surgical planning, decision-support systems and robotics-integrated platforms offer personalized guidance and enhanced precision. Intraoperative tools using 2D-3D fusion and volumetric reconstruction are enabling hardware-light navigation, particularly in ambulatory settings. Predictive models for survival, reoperation risk, and patient-reported outcomes are emerging, though external validation remains limited.Digital therapeutics and wearable technologies are expanding the reach of spine care beyond the clinic, offering scalable solutions for rehabilitation and postoperative monitoring. Meanwhile, regulatory and legal frameworks are evolving to address transparency, data governance, and intellectual property concerns. Recent FDA guidance and landmark legal cases underscore the need for disciplined collaboration and responsible deployment. Conclusions: AI in spine care is no longer theoretical and is operational. Its integration promises enhanced precision, efficiency, and personalization, but also demands rigorous validation and ethical oversight. This review highlights the multifaceted impact of AI and calls for continued alignment between clinicians, developers, and regulators to ensure safe, equitable, and sustainable innovation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.