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Surgeon analyzing spinal data on ultrawide monitors

SURGEON-BUILT INFRASTRUCTURE

The Operating System for Spine Surgery

SpineSense is surgeon-built infrastructure that transforms how spine surgery is planned, documented, analyzed, and improved. Real workflow tools today. Responsible AI tomorrow.

THE CHALLENGE

Spine Surgery Deserves Better Software

No Digital Support for Surgical Reasoning

Surgeons integrate dozens of variables in their heads for complex cases. EHRs are billing systems with a clinical veneer. No software mirrors how surgeons actually think.

No Feedback Loop

Most surgeons can't review their own outcomes, compare approaches, or understand what drives revisions. Basic questions require manual chart review and cobbled-together spreadsheets.

Data Isn't Ready for AI

Most medical AI stumbles because available data is retrospective, incomplete, and weakly linked to outcomes. We have the algorithms. We don't have the data.

SpineSense was created by spine surgeons to solve all three problems simultaneously.

HOW WE GET THERE

Three Phases. Staged Risk. Value at Every Step.

1

Phase 1 Now

Workflow Tools

3D surgical planning, automated measurements, ambient documentation, patient intake, and outcome tracking. Real tools that save surgeons measurable time today.

2

Phase 2 Year 2

Analytics & Research

Longitudinal outcome views, natural language clinical queries, comparative analytics, and multi-site collaboration. Research infrastructure, not decision support.

3

Phase 3 Year 3+

Validated AI

Outcome prediction, personalized risk stratification, treatment comparison, and surgical plan recommendations. FDA-cleared, human-in-the-loop, transparent.

Surgeon governance council roundtable discussion

GOVERNANCE

Surgeon-Governed. Not Lip Service.

The SpineSense Surgeon Governance Council provides real clinical oversight. 9–12 members — 60% academic, 30% private practice, 10% methodologists and ethicists. Quarterly meetings, documented decisions, annual transparency reports.

  • Approve data standards and ontology
  • Review all data access applications
  • Oversee AI validation and monitor for bias
  • Publish annual accountability reports
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