FDA 510(k) Cleared CE Marked HIPAA Compliant

Earlier Detection.
Proven Outcomes.

AI-assisted radiology that augments clinical judgment — not replaces it. Trusted by over 200 hospital systems, validated in peer-reviewed studies.

0% Sensitivity Rate vs. 87.2% unaided
0+ Hospital Systems across 28 countries
0M+ Scans Analyzed since 2021 deployment
0% Earlier Detection median stage improvement

Transparent AI, Designed for Clinicians

Our interface presents AI findings in the language of radiology — not data science. Confidence scores, anatomical markers, and differential rankings are always visible and always explainable.

Peer-Reviewed. Independently Validated.

Our outcomes aren't projections. They are drawn from multi-center randomized trials, published in high-impact journals, reviewed by independent biostatisticians.

Radiology 2024

False Negative Reduction in Mammography Screening

6.8% absolute reduction in false negatives vs. double-reading standard. No increase in false positive rate.

Read Study →
JAMA Oncology 2023

Radiologist Cognitive Load Reduction in High-Volume Centers

29% reduction in interpretation time. Physician satisfaction scores improved across all age demographics, including senior attendings.

Read Study →
FDA 510(k) Cleared
K230142
CE Mark Class IIb
Medical Device Regulation
HIPAA & SOC 2 Type II
Independently audited
ISO 13485 Certified
Quality Management System

Built Around How Radiologists Actually Work

No workflow disruption. No new logins. Seamlessly integrated into your PACS and RIS — findings surface inside the tools your team already uses.

01

PACS Integration

Zero-disruption deployment via HL7 FHIR and DICOM SR. Compatible with GE, Philips, Siemens, and all major PACS platforms.

DICOM SR HL7 FHIR Epic Cerner
02

Real-Time Analysis

Sub-2-second inference on standard hospital infrastructure. No cloud dependency required — fully on-premises deployment available.

<2s Latency On-Premises Air-Gapped
03

Physician Review

AI findings presented as structured, annotated suggestions. Every decision remains with the attending physician — always.

Physician-First Full Audit Trail
04

Structured Reporting

Pre-populated structured reports with AI-generated differential, measurement data, and Lung-RADS / BI-RADS classification.

Lung-RADS BI-RADS ACR

Trusted Across Experience Levels

From senior attendings who have practiced for 30 years to residents in their first year — our platform is designed to enhance, not threaten, clinical expertise.

"I was skeptical. After 28 years, I don't need a computer second-guessing my reads. But this is different — it shows its work. The confidence breakdowns let me understand exactly why it flagged something. Now I use it on every chest CT."
Dr. Robert Eismann, MD
Chief of Radiology, 28 years experience
Mass General Hospital
"As a second-year resident, I'm reading 80 cases a day. The AI catches what I might miss at hour eleven of a shift. The flag system is intuitive — it doesn't slow me down, it makes me more accurate."
Dr. Simone Park, MD
Radiology Resident, PGY-2
Johns Hopkins Hospital
"The regulatory team needed FDA clearance documentation, the CMO needed outcome data, and I needed to know it wouldn't break Epic. MedTech delivered on all three before we signed. That's rare."
Karen Walsh, MBA
VP Clinical Technology
Cleveland Clinic
DEPLOYED AT LEADING INSTITUTIONS
Mass General
Johns Hopkins
Cleveland Clinic
Mayo Clinic
UCSF Health
Stanford Medicine

See It in Your Environment

We'll configure a demonstration using your actual PACS connection and de-identified patient data from your institution. No generic demos — real clinical workflow.

Live PACS integration with your systems
IRB-compliant pilot study support
Clinical champion onboarding included
Full regulatory documentation package

Request Clinical Demo

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