10 Best AI Radiology Prior Authorization Tools

Quick answer: The best AI radiology prior authorization tools in 2026 split by which side of the request they run on. Honey Health leads the provider side for practices that want imaging PAs submitted and chased through RBM and payer portals inside their existing EHR. Infinx, Flexbone, and Alpha Nodus bring AI to imaging-center submission; Coral drafts imaging PAs across intake; and Cohere, Anterior, Humata, Basys, and Banjo are the AI the payer side uses to review and decide. The right pick depends on whether you're submitting imaging requests or deciding them.

Imaging is where prior authorization and AI collide hardest. Almost every MRI, CT, or PET runs through a radiology benefit manager, and both sides of that gate are now automating: practices use AI to get requests through the RBM, while plans and RBMs use AI to review them. So "AI radiology prior authorization" describes two different products at opposite ends of the same imaging request. This guide ranks the AI-native tools across both, with an honest best-fit and trade-off for each, starting with the provider-side tools that get imaging approved.

Last updated: June 2026.

How we evaluated these AI radiology PA tools

We included tools built around modern AI that do real imaging-PA work, serve US healthcare in 2026, and are HIPAA-compliant. We left the non-AI RBM portals and clearinghouses to our general guide. The dimensions that separated the field:

• Which side it serves — the practice submitting, or the payer/RBM deciding?
• Imaging fit — advanced imaging (MRI/CT/PET) and RBM coverage specifically.
• Where it runs — inside your EHR or RIS, or a separate platform?
• Autonomy — assist, submit and chase, or decide?
• Segment — imaging center, specialty group, health system, or plan.

This isn't a single-winner ranking. An imaging center clearing authorizations and a health plan running imaging UM need opposite tools, so each entry carries a clear "best for." Trust shapes this category: the AMA's 2025 survey found only about one in three physicians trust the AI insurers use for PA decisions — a useful caution about the payer-side tools here. This is the AI spoke of our radiology PA software guide and part of the broader AI prior authorization hub.

AI radiology PA tools at a glance

The 10 best AI radiology prior authorization tools in 2026

1. Honey Health — best for end-to-end imaging PA across payers and RBMs

Honey Health is built for the hardest part of imaging PA: getting through the RBM. Its AI agent identifies the imaging requirement in the EMR, logs into the right portal — a payer's or an RBM portal like eviCore, Carelon, or RadMD — submits the request with clinical justification, monitors status, and writes the decision back to the chart. Because it uses agentic browser automation, it navigates those RBM and payer portals the way a staff member would, across 20+ EHRs, with no integration project.

Pricing is per completed PA, roughly $1.50–$2 including status follow-up. Honey reports about one FTE offset per 25 new PAs a day, 80–95% less manual effort, and 99.8–99.9% accuracy, with most practices live in two to three weeks and no onboarding fee.

The honest limit: Honey is provider-side — it gets you approved, it isn't the RBM deciding — and it's newer than some incumbents. For practices and imaging centers buried in MRI/CT/PET authorizations across multiple RBMs and payers, an agent that works each portal end to end inside the EHR is the best fit.

2. Infinx — best for AI imaging PA at radiology centers

Infinx is a provider-side platform with deep radiology focus: its AI-driven software submits imaging PAs to eviCore, Carelon, and various payers from one place, applies an AI determination engine, integrates bidirectionally with the EHR, and adds radiology coding support, with fast-track paths for STAT studies. It's built around imaging centers and radiology groups.

Infinx blends software with services, so it's more a managed partnership than a pure self-serve agent, and the experience scales with how much you lean on its team. Best for radiology and imaging centers that want AI-assisted PA submission plus coding across RBMs.

3. Flexbone AI — best for AI imaging PA across RBMs

Flexbone AI builds AI agents that automate imaging prior authorization for MRI, CT, PET, and nuclear medicine, submitting through eviCore, NIA/Evolent, Carelon, and direct payer portals across the major commercial plans. It's a newer, AI-native entrant focused squarely on the imaging-PA path.

As an earlier-stage Atlanta startup, its track record and footprint are still building relative to the larger names here, so buyers should confirm coverage for their RBM and payer mix. Best for imaging providers that want an AI-native agent purpose-built for radiology PA across RBMs.

4. Alpha Nodus — best for AI PA for imaging centers on RIS/PACS

Alpha Nodus runs its Gravity AI platform for outpatient imaging centers, automating the front-desk and PA workflow — document processing, eligibility, cost estimates, prior authorization, and scheduling — and integrates directly with RamSoft's RIS/PACS for a "script to scan" flow. For imaging centers on that stack, it keeps PA inside the imaging operations system.

The tie to imaging-center RIS/PACS workflows is both the strength and the boundary: it's purpose-built for imaging centers rather than general specialty practices. Best for outpatient imaging centers that want AI PA woven into their RIS/PACS and scheduling.

5. Coral AI — best for drafting imaging PAs across intake

Coral AI replaces RPA with AI across the back office, and prior authorization — extracting clinical data, reasoning over criteria, and drafting the authorization for review — runs alongside its fax and intake workflows, imaging included. It raised seed funding led by Lightspeed and reports 500,000+ workflows a month.

As a younger, seed-stage company its footprint is still building, it isn't imaging-specific, and PA output is often drafted for human review rather than fired fully autonomously. Best for groups that want AI drafting imaging and other PAs as part of a wider intake automation effort.

6. Cohere Health — best for AI imaging utilization management

Cohere Health brings AI to the payer side of imaging and musculoskeletal authorization, helping plans run utilization management and auto-approve requests that clearly meet criteria. It raised a $90 million Series C in 2025 and acquired ZignaAI, and it's among the AI-forward names modernizing imaging UM.

For a practice, Cohere is payer-side — when your plan runs it, clear-cut approvals can move faster, but it isn't a tool you buy to submit. Best for health plans modernizing imaging and MSK utilization management, and useful for practices to recognize as the AI increasingly reviewing their requests.

7. Anterior — best for AI clinical review for imaging UM

Anterior builds AI for health-plan clinical review, reading the submitted record against payer criteria and designed to approve cases that clearly meet medical necessity while routing the rest to human reviewers. It raised a $40 million round in early 2026 (about $64 million total, backed by NEA and Sequoia) with an approve-only design intended to keep denials in human hands.

Anterior is payer-side, so a practice doesn't deploy it to submit imaging PAs — it's the plan's review engine. Best for health plans and risk-bearing organizations that want AI accelerating imaging UM approvals without automating denials.

8. Humata Health — best for touchless PA across procedures and imaging

Humata Health automates prior authorization across medical procedures and imaging for both providers and payers, with AI policy matching, automated statusing, and gold-carding aimed at 90% touchless authorizations. It grew out of Olive AI's PA business and raised about $25 million in 2024, and it partners with benefit managers like HealthHelp on imaging.

Because it spans procedures and imaging and bridges both sides, Humata's center of gravity is enterprise revenue-cycle teams and health systems, so the fit leans large. Best for health systems and large groups wanting touchless PA across imaging and procedures.

9. Basys.ai — best for interpretable AI imaging PA for payers

Basys.ai builds AI agents for prior authorization aimed at payers, emphasizing secure, interpretable, and adaptive decisioning across medical and pharmacy benefits — imaging among them — plus provider workflow automation. The interpretability focus is a direct answer to the trust problem around payer PA AI.

Basys is payer-side, so a practice doesn't deploy it to submit imaging requests — it's decisioning infrastructure for plans. Best for payers and risk-bearing organizations that want explainable AI behind their imaging PA determinations.

10. Banjo Health — best for AI PA decisioning for plans

Banjo Health helps health plans and PBMs manage the medical and pharmacy PA workflow from request through clinical review to appeals, reading submitted records against payer criteria — applicable to imaging on the medical-benefit side. It's built for the decisioning side of the transaction.

For a practice, that's the catch: Banjo isn't a tool you buy to submit imaging PAs — it's the AI on the other side of your requests. Best for health plans modernizing their own medical PA and clinical-review workflows.

How do you choose an AI radiology PA tool?

Start with your seat. If you're a practice or imaging center, the payer-side tools (Cohere, Anterior, Basys, Banjo) aren't yours to buy — your shortlist is the provider-side AI that submits and chases through the RBM. If you're a plan, the reverse holds, and the question becomes how explainable and denial-safe the decisioning is.

Then match the provider-side tool to your setting. An imaging center on RamSoft points to Alpha Nodus; a radiology group wanting submission plus coding points to Infinx; an AI-native agent purpose-built for imaging across RBMs points to Flexbone; and a practice that wants imaging PA worked end to end across every RBM and payer portal alongside its other PA types points to a broad agent like Honey Health that runs inside the existing EHR.

Finally, weigh autonomy and integration. Some tools draft while a person submits; others submit and chase to a decision through the RBM. And anything needing a per-EHR or per-RIS integration carries a hidden tax that agentic browser automation avoids. For the full field including the RBMs and connectivity hubs, see our radiology PA software guide.

Frequently asked questions

What is AI radiology prior authorization?

AI radiology prior authorization uses machine learning or autonomous agents to do imaging-PA work once done by hand. On the provider side, it reads the order, assembles clinical justification, submits to the RBM or payer, and chases status. On the payer side, it reviews the request against criteria and helps render the decision. The two are different products at opposite ends of the same imaging request.

Can AI get imaging approved through eviCore and other RBMs?

Yes — provider-side AI is built to work the RBM. Agents log into eviCore, Carelon, RadMD/NIA, and payer portals, submit the request with the clinical justification the criteria require, and track it to a decision. Honey Health's agent navigates those portals directly and reports 80–95% less manual effort, with edge cases routed to staff.

Is provider-side or payer-side AI better for imaging PA?

They serve different buyers. Provider-side AI (Honey Health, Infinx, Flexbone, Alpha Nodus, Coral) submits and chases imaging requests for a practice or imaging center. Payer-side AI (Cohere, Anterior, Basys, Banjo) reviews and decides them for a plan. A practice can't fix its queue with a payer tool — identify your side first.

How accurate is AI at imaging prior authorization?

Provider-side agents report high accuracy on submission and statusing, with people handling genuine edge cases and peer-to-peer reviews. Honey Health, for example, reports 99.8–99.9% task accuracy and routes low-confidence cases to staff. On the payer side, trust is lower — only about a third of physicians trust insurer PA AI — which is why approve-only and interpretable designs matter there.

Does AI imaging PA work with my EHR or RIS?

It depends on the tool. Some integrate per EHR or per RIS (Infinx with EHRs, Alpha Nodus with RamSoft RIS/PACS); others operate the portals directly. Honey Health's agent works inside 20+ EHRs and the RBM and payer portals without an integration project, because it uses the systems your staff already use. Always confirm coverage for your specific stack.

AI radiology PA is two products on opposite sides of the RBM. Decide whether you're submitting or deciding, match the provider-side tool to your imaging setting, and favor the ones that submit and chase through the RBM rather than just assist — for a practice that wants imaging PA worked end to end across every portal inside its EHR, an agent like Honey Health is the place to start.