Search & topics

Brief · Issue 14

The closed loop is the product

Evidence on risk models, preference influence, and surgical data abstraction points to one architecture: connect prediction, communication, adjudication, outcomes, and recalibration.

published

Brief · Issue 13

The model is not a neutral renderer

Aneurysm benchmarks, shadow-mode deployment, and prediction studies show why base-model choice, temporal contracts, and clinical go/no-go thresholds are safety variables.

published

Brief · Issue 12

Clinical AI should be built for staged deployment

UK regulatory proposals and new clinical evidence point to one architecture: controlled deployment, versioned evidence, clinician handoff, and continuous monitoring.

published

Brief · Issue 11

Will AI make doctors worse at thinking?

The first essay in The Deskilling Question separates automation bias, cognitive offloading, and actual skill loss—and asks how clinical AI should preserve independent judgment.

published

Brief · Issue 10

The generative interface is becoming a regulatory object

FDA’s GenAI device discussion paper shows why variable outputs, clinician review, patient understanding, and postmarket monitoring are becoming product-design questions.

Brief · Issue 9

Who watches the clinical agent?

New spine and perioperative evidence, plus a neurosurgical observability proposal, show why clinical AI needs a safety layer separate from generation.

Brief · Issue 8

Clinical credibility is the moat

Live surgical AI, a stroke-edema device pathway, and new spine evidence show why the complete clinical system is the defensible asset.

Brief · Issue 7

Decoding is not independence

The first BCI Watch separates remarkable decoding results from evidence of durable, real-world functional independence.

Brief · Issue 6

Deployment is the evidence gap

Real surgical triage, weak prediction-model evidence, and the 2.5% trial problem define the next validation agenda.

Brief · Issue 5

From benchmarks to clinical competency

FDA’s discussion framework, new spine evidence, and why clinical AI must prove competency inside its intended workflow.

Brief · Issue 4

The model is replaceable. The clinical system is not.

Deployment surveillance, patient comprehension, corpus-specific RAG, and the architecture that makes clinical AI defensible.

Brief · Issue 3

AI that knows when to defer

Risk prediction, consent agents, clinical workflow, and the case for formal deferral in safety-critical neurosurgical AI.

Brief · Issue 2

External validation changes the conversation

Why honest external performance, simple models, and completeness checks matter more than impressive demonstrations.

Brief · Issue 1

The risk-and-consent copilot, not the AI neurosurgeon

A defensible architecture for risk prediction, consent preparation, workflow support, and substantive surgeon oversight.

Atlas

Trigeminal neuralgia

Neurovascular compression, synthetic MRI teaching views, and the decision boundary for microvascular decompression.

Editor reviewed — text and figures

Atlas

Intramedullary spinal teratoma

Developmental hypotheses, cyst expansion, and the tumor–cord interface that can limit safe resection.

Editor reviewed — text and figures

Atlas

Spinal dural arteriovenous fistula

Venous congestive myelopathy, perimedullary flow voids, and why 3D SPACE can suggest—but not prove—the shunt level.

Editor reviewed — text and figures

Index

Stealth AXiS Cranial clinical application

Cranial planning and stereotactic navigation for tumor resection, catheter placement, electrodes, leads, probes, and biopsy; the dossier describes automatic image merging and generated tractography.

Evidence reviewed Aug 17, 2026

Index

SafeOp 3: Neural Informatix System

Intraoperative neurophysiological monitoring supporting SSEP, MEP, train-of-four, triggered EMG, and free-run EMG workflows, with an SSEP baseline-classification algorithm.

Evidence reviewed Aug 17, 2026

Index

Acorn 3D Software

AI-assisted segmentation of T1–L5 vertebrae and the sacrum, measurement, trajectory planning, and creation of patient-specific 3D models.

Evidence reviewed Aug 17, 2026

Index

Stealth AXiS Spine clinical application

Stereotactic and robotic-assisted spine navigation with AI-generated pedicle-screw plans and deep-learning segmentation of vertebrae from CT and CBCT images.

Evidence reviewed Aug 17, 2026

Index

Cirrus Resting State fMRI Software

A nonadaptive machine-learning pipeline that generates patient-specific motor, language, and vision resting-state fMRI correlation maps.

Evidence reviewed Aug 17, 2026

Index

RT Elements 4.5

Cranial and spine stereotactic radiotherapy planning, including AI cranial-tumor segmentation, multiple-brain-metastasis planning, retreatment review, and Spine SRS.

Evidence reviewed Aug 17, 2026

Index

Viz Subdural+

Locked AI/ML analysis of non-contrast head CT for labeling and quantifying subdural collections, maximum width, and midline shift.

Evidence reviewed Aug 17, 2026

Index

JLK-NCCT

AI triage and notification from non-contrast head CT for suspected intracranial hemorrhage and large-vessel occlusion involving the ICA, M1, or M2.

Evidence reviewed Aug 17, 2026

Guide

AI in Chiari I and syringomyelia: phenotype, measurement, and outcome prediction

A clinical evidence guide separating imaging detection, measurement, phenotype discovery, and outcome prediction—and explaining why none alone determines surgical treatment.

Draft — specialist review pending

Guide

D-wave and multimodal monitoring: what the signals can tell us

An evidence guide to D-wave, muscle MEPs and SSEPs in intramedullary spinal cord surgery—and why signal prediction is not proof of clinical benefit or AI readiness.

Draft — specialist review pending

Regulatory Atlas

Neurosurgery AI Regulatory Atlas

Selected FDA case studies showing what entered regulation, what evidence supported it, what remains unproven, and how authorized systems are monitored after market entry.

Regulatory Atlas

How Neurosurgical AI Reaches Clinical Regulation

A practical map of FDA pathway, evidence, human review, change control, and postmarket surveillance, derived from ten source-checked public case studies rather than a market census.

Regulatory Atlas

Regulatory Evidence Matrix

Compare pathway, disclosed AI function, validation design, change control, and postmarket boundaries across ten selected FDA case studies.

Regulatory Atlas

SafeOp 3: Neural Informatix System

An intraoperative monitoring system with an authorized classifier-change plan and a separately scoped software and interface recall.

Regulatory Atlas

Brainomix 360 Hyperdensity

Locked deep-learning segmentation and volumetry for intracranial hyperdensities, with controlled retraining and threshold changes permitted under a PCCP.

Regulatory Atlas

Mazor X System / Mazor X Stealth Edition

Two locked AI planning functions inside a robotic spine platform, with expert plan acceptance kept separate from placement accuracy and patient outcomes.

Regulatory Atlas

SpineAR SNAP (SyncAR Spine)

A validated 3D U-Net vertebral-segmentation component inside a wider AR/VR planning and navigation interface, with a prior-version recall kept distinct.

Regulatory Atlas

Acorn 3D Software (AC-SEG-4009); Acorn 3DP Model (AC-101-XX)

A spine-planning suite whose newest clearance concerns correction simulation while its machine-learning segmentation and PCCP come from earlier submissions.

Regulatory Atlas

JLK-NCCT

A dual ICH and LVO notification system in which the new clinical validation addressed LVO while the ICH component was inherited unchanged.

Regulatory Atlas

BrainSee

A prognostic De Novo case showing how demographic underrepresentation can lead to a required postmarket performance study.

Regulatory Atlas

BrainScope Ahead 100

A prospective De Novo example in which both prespecified primary performance endpoints failed, yet narrow labeling and controls supported a grant.

Regulatory Atlas

EyeBOX

An eye-movement concussion aid with missed performance goals, a revised clinical reference standard, and explicit limits on negative and positive results.

Regulatory Atlas

xvision Spine system

An augmented-reality spine-navigation clearance that appears on FDA’s AI list although its public summary does not identify a learning architecture.

Guide

Neurosurgery.ai

Neurosurgery.ai tracks AI research, clinical tools, regulatory signals, and adoption patterns shaping modern neurosurgery.

Guide

Neurosurgery AI Brief

Concise briefings on AI research, clinical tools, regulation, and adoption in neurosurgery.

Guide

Neurosurgery Visual Atlas

Review-status-labeled, AI-assisted visual explanations of neurosurgical anatomy, mechanisms, imaging, operative risk, and decision boundaries.

Guide

Methodology

Illustration, clinical review, disclosure, versioning, and update standards for the Neurosurgery Visual Atlas.

Guide

Neurosurgery.ai Index

A curated, primary-source-first tracker for AI-enabled tools, evidence, regulatory status, and clinical workflow fit in neurosurgery.

Guide

Methodology

Inclusion criteria, source standards, clinical interpretation, and update policy for the Neurosurgery.ai Index.

Guide

AI × Spinal Cord Disease

AI imaging, outcome prediction, and clinical support for spinal cord disease. Evidence guides and the Spinal Cord AI Research Watch framework.

Guide

Independent intelligence on AI in neurosurgery.

About Neurosurgery.ai: independent, clinician-led intelligence on AI research, tools, and clinical adoption in neurosurgery.

Guide

Editorial Policy

Editorial standards for independence, primary-source review, disclosure, corrections, and professional boundaries at Neurosurgery.ai.

Guide

Disclaimer

Professional information boundary for Neurosurgery.ai: no diagnosis, medical advice, image interpretation, or clinical decision support.

Guide

Privacy notice

How site visits, newsletter subscriptions, and correspondence are handled by Neurosurgery.ai and its service providers.

Guide

Updates and corrections

A public record distinguishing disclosure updates, content corrections, and scientific review at Neurosurgery.ai.

Guide

Image use and attribution

AI-assisted image provenance, educational boundaries, attribution, and permission requests for the Neurosurgery Visual Atlas.

Guide

Regulatory Atlas Methodology

How Neurosurgery.ai selects FDA submissions, separates disclosed AI architecture from list inclusion, grades evidence, attributes PCCPs and recalls, and maintains the public Regulatory Atlas.

Guide

Regulatory Atlas Updates

A concise public ledger separating selection changes, evidence review, methodology changes, and presentation maintenance in the Neurosurgery AI Regulatory Atlas.

Guide

Clinical safeguards for generative AI-enabled medical devices

A focused neurosurgical response to FDA’s 2026 GenAI device discussion paper, addressing conversational risk, clinical confirmation, human review, postmarket observability, model changes, and agentic action.

Guide

Five studies. Five different claims.

Five source-checked AI studies in Chiari I, intramedullary tumors, cervical cord compression, and spinal cord injury prognosis—read through validation and clinical limits.