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Jason “Deep Dive” LordAbout the Author
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MRI Safety Navigator: From Implant Search to a Defensible MRI Safety Workflow

Deep Dive AI • MRI Safety Workflow

MRI Safety Navigator: From Implant Search to a Defensible MRI Safety Workflow

The goal is not to replace MRI safety judgment. It is to make the research process faster to organize, easier to verify, and much harder to lose track of when the patient is waiting.

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After years of researching implants, reading manufacturer conditions, tracking model numbers, checking old documentation, and trying to make sure every important condition was accounted for before a patient entered the magnet, I kept coming back to the same problem: the information exists, but the workflow is scattered.

That is why I built MRI Safety Navigator.

It is not intended to be another implant list. It is designed as a practical workspace for the part of MRI safety that happens between receiving incomplete device information and reaching a documented, evidence-based decision.

The core idea
MRI safety information should not just be searchable. It should be organized into a workflow that makes it obvious what is confirmed, what conditions apply, what source supports them, and what is still unresolved.

The real problem is not just finding a device

A patient may arrive with an implant card, a manufacturer name, a model number, a catalog number, a UDI, a partial operative note, or sometimes little more than a description of what was implanted years ago.

Finding a possible match is only the beginning. The working MRI technologist still has to determine whether the result is the exact device, whether the labeling is current, whether every associated component has been identified, and whether the scanner and planned exam can meet the published conditions.

IDENTIFY
Manufacturer, model, catalog number, DI, UDI, implant card, operative note.
VERIFY
Confirm the exact device and relevant system components before relying on conditions.
CONDITIONS
Field strength, SAR/B1+rms, coils, landmark, scan duration, operating mode and positioning.
DOCUMENT
Keep the source, labeling, unresolved questions and remaining verification visible.

A database and a navigator solve different problems

Traditional MRI safety databases are valuable. They help locate devices and published information. MRI Safety Navigator is aimed at the next step: helping organize what a technologist needs to do with that information.

Question Simple Search Navigator Workflow
Can I find the device? Yes Yes
Are the exact conditions visible? Sometimes Designed to organize them
Are unresolved items obvious? Usually manual Explicit workflow goal
Is evidence/source tracking part of the workflow? Varies Core design principle

MR Conditional is not a green light

One of the most important distinctions in MRI safety is that MR Conditional is not the same thing as simply being “MRI approved.” The conditions are the decision.

Conditions the workflow may need to surface
• 1.5T / 3T restrictions
• Spatial gradient limits
• Whole-body SAR
• B1+rms
• RF coil restrictions
• Scan duration limits
• Landmark restrictions
• Patient positioning
• Operating mode
• Waiting periods after implantation

A workflow tool becomes useful when it can translate a page of labeling into a structured set of conditions that can be checked against the actual scanner and examination being planned.

The most useful answer may be “not enough information yet”

A safety tool should not reward certainty for its own sake. If the device identity is incomplete, a component is missing, the manufacturer documentation cannot be verified, or a required condition is unknown, the workflow should make that visible.

Remaining verification is a feature, not a failure.

A structured “still unknown” status is safer and more useful than a confident answer built on incomplete information.

Where AI can help — and where it should stop

AI can be extremely useful in MRI safety research when it is used as an assistant rather than an authority. It can help extract model numbers from documents, summarize long manufacturer PDFs, organize conditions, compare identifiers, highlight missing data and turn unstructured documentation into a checklist.

What it should not do is invent a device match, manufacture a safety condition, or substitute a generated answer for current manufacturer labeling and institutional policy.

GOOD AI ROLE
Extract, organize, compare, summarize, flag gaps and preserve source links.
BAD AI ROLE
Guess device identity, invent conditions, or declare a scan safe without verified evidence.

Built from the scanner-room perspective

MRI Safety Navigator is being designed around the reality of clinical workflow: a patient may already be waiting, the schedule may be full, the implant information may be incomplete, and the technologist may be balancing research, phone calls and scanner throughput at the same time.

That means the interface has to answer practical questions quickly:

  • What exact device do I have?
  • What authoritative documentation supports this match?
  • What conditions must the planned exam meet?
  • What risk flags or component questions remain?
  • What still needs verification before moving forward?

What I want this tool to become

The long-term goal is a structured MRI safety workspace that combines device identification, manufacturer documentation, condition extraction, risk flags, evidence tracking and remaining-verification prompts into one coherent process.

The workflow I am aiming for

Identify the device → collect the evidence → verify the conditions → expose what is still unknown → document the path to the decision.

That is a much more useful goal than simply building another searchable list.

Try it

If you work in MRI and routinely research implants or devices, take a look at the current tool and compare the workflow to the way you handle implant screening today.

MRI Safety Navigator

Turn scattered implant research into a structured, evidence-centered workflow.

Open the Tool How to Use It
Important: MRI Safety Navigator is a research and workflow aid. It does not replace current manufacturer labeling, institutional MRI safety policy, formal device verification, or professional judgment. Final scanning decisions should be based on authoritative documentation and the specific conditions of the planned examination.

Deep Dive AI — research, build, test, document, improve.

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