Natoe AIAI-Native Teleradiology

AI-Native Teleradiology Specialists. Fellowship-trained, signed reads in hours.

AI-powered subspecialty radiology — for imaging centers, urgent care, hospitals, and clinics. Neuro, MSK, breast, pediatric, and body subspecialists. Radiology reads delivered in hours, not days.

or call +1 (656) 241-6730
CT
CT chest
AI READ
MRI
MRI knee
X-RAY
X-ray
Step 1 of 3
AI Analyzed
FDA-cleared
Radiology Report
· #001
Draft
Modality
CT
Region
Chest
Findings
No acute cardiopulmonary process
Scattered calcified granulomas, stable
Mediastinum within normal limits
AI analyzing study…
STAT in under 30 min
Fellowship-trained per modality
Month-to-month — no minimums
HIPAA · SOC 2
Subspecialties we match

Routed to the right specialist — every scan.

Subspecialty matters. The wrong reader misses what a fellowship-trained eye catches in seconds.

Neuroradiology

Brain MRI, stroke CT, MS workup, head & neck

Subtle ischemic changes and small mass effects get missed by generalists.

Musculoskeletal

Joint MRI, sports injuries, fractures, arthritis

Cartilage, meniscus, and labrum detail need an MSK-trained eye.

Breast imaging

Mammography, breast MRI, breast ultrasound

BI-RADS accuracy and microcalcification detection lift biopsy yield. MQSA-certified readers.

Pediatric radiology

Pediatric CT, MRI, X-ray, congenital findings

Children aren't small adults — peds anatomy and dose protocols differ.

Body imaging

Abdominal & pelvic CT, MRI, oncology staging

LI-RADS, PI-RADS staging precision changes the treatment plan.

Every subspecialist on the panel is U.S. board-certified, fellowship-trained, and ABR-certified. We route by clinical history and prior images at intake — not by who happens to be online.

What changes when AI is on every read
< 30 min
STAT reports delivered
AI-pre-analyzed and subspecialist-signed
100%
AI-orchestrated reads
Every supported study runs through AI pre-analysis and an in-house LLM preread before the radiologist opens it
50%
Fewer rejected studies
AI flags acquisition issues at intake, not at sign-off

Every supported study runs through FDA-cleared partner AI modules and an in-house LLM-drafted preread before a US board-certified subspecialist verifies, edits, and signs. The radiologist is always the author of record. AI prepares the read. The radiologist signs the diagnosis.

On average, Natoe AI partners report 60% faster end-to-end report turnaround vs. their prior teleradiology vendor.

What partners say
“Natoe AI is the kind of teleradiology partner imaging centers hope to find. Integration was seamless, reports come back faster and with better quality, and they earned our confidence from day one. With Natoe’s support we’ve scaled our reading volume by nearly 70% month-on-month, every modality through one platform. Their AI capability paired with a genuine technology focus is what truly sets them apart.”
Olga Bacallao
Owner, Best American Diagnostic Center, Hialeah, Florida
+0%
reading volume, month-on-month
Modalities live:
CT · MRI · X-Ray · Ultrasound · Mammography
What Natoe AI is

Most teleradiology vendors stitch a stack of tools together. We didn't.

We built every layer in-house and integrated them — a PACS viewer, a dictation engine, a worklist, the AI on every read, the assignment engine that enforces subspecialty and state license as hard filters, the in-house LLM that drafts every preread in structured form, and a verified digital signature on every signed report.

Medical leadership

The radiologist behind the standards.

Dr. Amit Kumar Sanghi, D.O. — Chief Medical Officer, Natoe AI
Chief Medical Officer

Dr. Amit Kumar Sanghi, D.O.

Natoe AI

Specialty
Diagnostic Radiology
Degree
Doctor of Osteopathic Medicine (D.O.)
NPI
1720280530 — verify on the National Plan & Provider Enumeration registry
Practice base
West Columbia, SC

Dr. Sanghi sets the reading standards, the AI workflow protocols, and the quality metrics that every Natoe AI radiologist follows — from STAT escalation to subspecialty routing to final report structure.

Complete automation, end to end

No layer on your PACS. No extra portals. No email chains. No calls to chase reads.

Most teleradiology vendors give your team something new to manage. Natoe AI removes the work, it doesn’t add to it. The platform meets your facility at the protocol layer — DICOM and HL7 — not on top of your PACS. The day-to-day coordination your office is doing today simply disappears.

No new portal to log into

Studies push from your PACS over DICOM; signed reports come back over HL7. Your techs never learn a new system.

No email chains or phone calls to chase reads

Priors auto-retrieved from your PACS archive. Real-time dashboard shows every study's state with timestamps.

No manual billing or batch payments

Reads billed in real time as the radiologist signs off. Settle the running balance with one-click payment.

One-click prior and technical corrections

When a study needs re-acquisition, the corrected version routes back to the same radiologist with context preserved.

The operational math (illustrative, at a 2,000-study/month facility)

Process todayWhat it costs youWith Natoe AIMonthly recovery
Manual prior chasing~2 min × ~30% of studiesAuto-stitched at intake~20 hours / month
"Where is my read?" calls~1 min × ~8% of studiesReal-time dashboard~3 hours / month
Billing reconciliationEnd-of-month batch reviewReal-time ledger~4–6 hours / month
Payment processingCheck / wire / ACH cycleOne-click settle~2 hours / month
Rejection rework~5 min × rejected studiesOne-click structured response~3–5 hours / month

Net: roughly 30+ hours of tech, front-desk, and billing-team time recovered every month at a 2,000-study facility. Those hours go straight back into patient care, scheduling, and referrer relationships.

Estimates reflect typical operational savings observed at multi-modality outpatient facilities. Actual recovery varies by current vendor configuration, referrer mix, and study volume.

Coverage that matches your case mix

Every modality. Every subspecialty. Matched at intake.

Modalities

CT·MRI·X-Ray·Ultrasound·Mammography (incl. tomosynthesis)

Subspecialty-matched

Neuroradiology·Musculoskeletal (MSK)·Body imaging·Breast imaging (MQSA-certified)·Pediatric radiology·General radiology

Subspecialty match is enforced as a hard filter by the assignment engine. A neuro MRI cannot route to a non-neuro reader. A screening mammogram cannot route to a non-MQSA reader.

Trust & credibility

The operational details that matter.

HIPAA-compliant infrastructure

PHI encrypted in transit (TLS 1.3) and at rest (AES-256). Role-based access. Full audit trail on every study. BAA signed on day one.

PACS / RIS aligned

Native integration with the systems your center already runs. No swap-out, no parallel portal, no second login for your techs. PACS integration in 48 hours.

HL7 report delivery

Signed reports pushed directly into your PACS via HL7 ORU^R01 — eliminating the manual handoffs still common with legacy vendors.

US board-certified radiologists

Every Natoe AI radiologist is ABR-board-certified, state-licensed where your patients are scanned, and credentialed at your facility before reading a single study. Credentialing paperwork is handled by our operations team.

FAQ

Common questions from facility decision-makers.

We match across five core subspecialties: neuroradiology, musculoskeletal, breast imaging (MQSA-certified), pediatric, and body. Plus general radiology across CT, MRI, X-Ray, Ultrasound, and Mammography. Every subspecialist is U.S. board-certified, fellowship-trained in their modality, and ABR-certified. Subspecialty match is enforced as a hard filter at intake — we route by clinical history and prior images, not by who happens to be online.

PACS integration is typically complete within 48 hours of signing. Full production go-live, including state credentialing of our radiologists and a sign-off test batch, lands inside one week for most facilities — with some routes extending to 10–14 days where state medical-board credentialing requires additional time.

Yes. Every Natoe AI radiologist is US board-certified by the American Board of Radiology, fellowship-trained in their subspecialty, licensed in the states where your patients are scanned, and credentialed at your facility before reading a single production study. Subspecialty credentials (neuro, MSK, body, breast, pediatric, MQSA) are validated as hard filters by the assignment engine.

Same-day reads on routine, STAT reads delivered in under 30 minutes from study arrival. Every study is AI-pre-analyzed and LLM-pre-drafted before a subspecialist opens it. The SLA is written into the contract.

Per-read pricing on transparent published rates, no platform fees, no minimums, no STAT surcharges hidden in the contract. Month-to-month — cancel with 30 days' notice. We will quote your specific volume on the demo.

Yes — and importantly, Natoe AI does not sit as a layer on top of your PACS. We meet your facility at the protocol layer: studies push out from your PACS over DICOM, signed reports come back into your PACS over HL7 (ORU^R01). No new viewer, no second worklist. PACS integration in 48 hours. PHI is encrypted in transit (TLS 1.3) and at rest (AES-256), access is role-based with full audit logging, Natoe AI is SOC 2 Type II audited annually, and a BAA is signed before any production study moves.

See it on your worklist. Fifteen minutes.

A 15-minute working session — bring one modality, one referrer, one turnaround target. We will show you exactly how the workflow runs on your data: same-day reads, FDA-cleared partner AI on every supported study, subspecialist-signed reports, written SLA. PACS integration in 48 hours, live production reads within a week.

Call +1 (656) 241-6730

A Natoe AI radiology operations lead will reply within one business day. Month-to-month. Cancel with 30 days’ notice. No long-term lock-in.

Ask Natoe anything...