Radiofy deploys deep learning on your CXR worklist — whether you're a GP, a clinic, or a hospital — and delivers structured AI reports to your PACS in under 30 seconds. TB. Nodules. Fractures. Abnormalities flagged before the radiologist even opens the study.
Malaysia's radiology system is stretched to breaking point — from GP clinics and health centres to major hospitals. The gap between imaging volume and available specialists is widening every year. Something has to give.
KK hospitals across Malaysia handle hundreds of CXRs per shift with skeleton staffing. Private hospitals pay premium locum rates just to clear the queue. Burnout is real and rising.
Malaysia still carries a heavy TB burden. Subtle early-stage signs get missed in rushed reads. By the time TB is diagnosed, patients have already infected their families and communities.
The quality gap between AI-assisted and manual reporting is growing. Clinics and hospitals that don't adapt will lose patients, staff, and credibility. The question isn't if — it's when.
Images are automatically routed from your modality worklist to Radiofy via DICOM or HL7. No manual upload, no new hardware.
Forty-seven-layer vision model analyses the image. Structured report with findings, confidence scores, and differential diagnoses — delivered in under 30 seconds.
Reports appear in PACS with highlighted abnormalities and confidence scores. Radiologist approves, edits, or escalates. Review time cut by over half.
Radiofy isn't a demo. It's deployed infrastructure. Every feature is designed for the actual workflows of Malaysian radiology departments — from GP clinics and health centres to major hospitals.
Trained on 2M+ CXRs including Southeast Asian TB datasets. Flags suspected pulmonary TB with sensitivity matching senior radiologists — for entire populations, not just individual cases.
Detects nodules as small as 5mm with precise localisation and volume estimation. Flags potentially malignant findings for urgent radiologist escalation before the queue backs up.
FHIR DiagnosticReport and DICOM SR compatible. Drop it straight into your EMR. Standardised templates that your clinicians actually want to read.
Registered with Malaysia's Medical Device Authority. All data stays in Malaysian or Singaporean servers. Full PDPA compliance — your patient data never leaves your jurisdiction.
Works natively with PACS systems common in Malaysian hospitals — Agfa, Carestream, GE. Auto-routes images from modality with zero changes to your existing workflow.
AI assists. Your radiologists decide. Every report is reviewed and signed off by a qualified radiologist. The system learns from every correction — getting smarter with every case.
We had a three-day CXR backlog with two radiologists on leave. Radiofy cleared it in under four hours. More importantly, it flagged a Stage 2 TB case that had been sitting in the queue overnight. That patient started treatment the same afternoon.
We're accepting a small group of pilot partners — GPs, clinics, and hospitals. Locked-in pricing. Full engineering support.
Whether you're a GP, a clinic, or a hospital — pilot partners get priority access, locked-in pricing, and hands-on onboarding from our engineering team. No commitment. Cancel any time before launch.