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AI Spine Planning · Surgical + Non-Surgical

AI processes complex spine inputs and recommends ranked care plans.

Vertegrity uses AI to synthesize imaging findings, symptoms, dermatomes, prior treatment, and patient constraints into ranked surgical and non-surgical recommendations with scores, tradeoffs, recovery-time expectations, rationale, and a shareable summary.

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AI recommendation preview

From unstructured case data to a scored plan comparison.

Messy inputs
Radiology excerptL4-L5 severe central canal stenosis. Facet arthropathy. Foraminal narrowing.
SymptomsNeurogenic claudication, walking tolerance 6 minutes, bilateral leg pain.
ConstraintsBMI 34 · osteoporosis risk · failed PT and medication trial.
Vertegrity recommendations
Surgical option94

L4-L5 decompression with instability assessment

Recovery: 6-12 weeksTradeoff: higher upfront intervention, faster stenosis relief

Favored due to severe stenosis, function-limiting claudication, and failed conservative care.

Non-surgical option72

Targeted PT, epidural injection, medication optimization

Recovery: 2-6 weeks to reassessTradeoff: lower procedural risk, less durable if severe compression persists

Provided as an alternative or bridge, with explicit criteria for escalation if walking tolerance fails to improve.

The problem

Spine planning is high-stakes, high-variance, and time-starved.

45 min avg

Industry estimate for reviewing imaging, notes, and constraints before complex cases.

3.2× variance

Illustrative variance in plan choice when multiple surgeons review the same case.

<20%

Industry estimate of cases with a documented alternative plan considered.

Product workflow

From imaging and notes to ranked plans in under five minutes.

1

Input

Upload imaging, paste history, and select level or dermatome patterns.

2

AI analyze

AI normalizes messy notes, extracts constraints, and surfaces evidence-linked decision factors.

3

Plan options

Review top surgical and non-surgical approaches with scores, tradeoffs, assumptions, and expected recovery windows.

4

Share

Export a one-page summary for team review and EMR handoff.

Messy clinical inputs become a comparison-ready recommendation set.

Reports, symptoms, patient constraints, and prior treatments are normalized into ranked surgical and non-surgical options with scores, tradeoffs, recovery windows, and escalation criteria.

Input bundle

Radiology report pasted from PACS

Clinic note with symptom progression

Risk factors and failed conservative treatment

Target levels and neurologic findings

Ranked output
94

Surgical plan · decompression-first pathway

72

Non-surgical plan · injection + PT bridge with escalation criteria

PDF

Shareable summary with rationale, tradeoffs, and recovery expectations

Capabilities

Surgical and non-surgical decision support with scores, tradeoffs, and recovery context.

01

Surgical + non-surgical options

Returns the top surgical plans and top non-surgical plans side by side.

02

Plan scores

Each option includes a structured score to support fast comparison and review.

03

Tradeoffs and constraints

Highlights BMI, prior fusion, osteoporosis, instability, recovery burden, and other risks.

04

Recovery-time expectations

Shows estimated recovery windows so teams can compare clinical and lifestyle impact.

05

Evidence-aligned rationale

Rationale links to peer-reviewed sources and guideline references.

06

Shareable summary

One-page PDF formatted for surgical team handoff, patient discussion, and EMR-ready export.

For Surgeons

  • Cut planning time from 45 min to <5.
  • Compare surgical and non-surgical options with scores.
  • Document tradeoffs, recovery windows, and alternatives defensibly.
  • Use AI to keep evidence and constraints visible while clinical judgment stays in control.

For Hospitals

  • Standardize approach across the service line.
  • Audit versioned recommendations for QA review.
  • Reduce variance and length-of-stay outliers.
  • Procurement-friendly: HIPAA, SOC 2 path, BAA support.
Evidence & methodology

Recommendations grounded in published spine surgery literature.

Vertegrity is designed to draw from NASS guidance, AAOS resources, and peer-reviewed spine journals. Recency is tracked, recent literature is preferred when appropriate, and low-evidence recommendations are flagged explicitly.

NASS guideline alignmentLumbar stenosis care pathways and decision factors.
Peer-reviewed literatureDecompression, fusion, conservative care, recovery, and risk evidence.
Clinical disclosureDesigned to support, not replace, clinical judgment.

Security designed for clinical workflows.

HIPAASOC 2 Type II pathHITRUST in progressSingle-tenant deployment

Your imaging and notes remain inside your tenant. Customer clinical data is not used to train base models.

Read the security overview
Team & advisors

Built with clinical operators and spine-domain review.

Vertegrity is developed for surgical teams that need clear reasoning, defensible alternatives, and governance-ready documentation.

01

Clinical Review

Spine-domain input shapes care pathways, scoring language, and clinician-facing outputs.

02

AI Workflow

AI recommendation generation, structured scoring, and explainability remain visible for review.

03

Healthcare Security

Tenant-scoped data handling, auditability, and deployment options built for clinical environments.

FAQ

Questions procurement and surgical teams ask first.

How is this different from a literature search tool?

Vertegrity converts case-specific findings into ranked surgical and non-surgical options with scores, tradeoffs, recovery expectations, and shareable documentation.

Does it integrate with our EMR?

Structured exports are designed for Epic, Cerner, and athena workflows. Direct integrations are scoped during pilots.

What pathologies does it cover today?

Current reasoning covers cervical, thoracic, lumbar, and sacral conditions including stenosis, disc herniation, deformity, instability, fracture, and SI pathology.

How are recommendations generated?

Recommendations combine structured clinical inputs, rules, evidence references, and model-assisted summarization.

How do you handle PHI?

PHI remains tenant-scoped, encrypted in transit, and governed by access controls and audit logging.

Can we run it on-premises?

Single-tenant and customer-cloud deployment options are available for enterprise pilots.

How is it priced?

Pilot pricing depends on site count, integration depth, and deployment model.

How long does pilot setup take?

Most scoped pilots target a 2–6 week setup depending on integrations.

See Vertegrity on one of your own cases.

Bring a de-identified spine case and we’ll walk through ranked surgical and non-surgical options, including scores, tradeoffs, and recovery-time expectations.

Request a Demo