The Answer Was Always in the Scan.
We Built the System That Finds It.

No. Fractify is clinical decision support. It produces structured, AI-generated findings from imaging. A qualified clinician must interpret every output and make all medical decisions. AI surfaces. The specialist confirms.

X-Ray (chest and wrist/bone), CT (chest/lung and brain), MRI (brain), and dental imaging. Each modality uses a dedicated structured report with modality-specific fields.

Schema-based structured outputs: repeatable fields for condition, severity, confidence, differentials, follow-up guidance, and modality-specific sections. Consistent. Auditable. EHR-ready.

Yes. When Arabic is selected, the AI engine returns all free-text fields in Arabic and the report interface switches to full right-to-left layout with Arabic typography.

Yes. When prior visit records exist for the same patient, the pipeline includes a prior-visit comparison — flagging stable, improved, or worsened status. A side-by-side comparison view with AI-generated visual diff is also available.

No. This site only accepts optional contact messages. It is not intended for PHI. Clinical application deployment, data governance, and regulatory compliance remain the responsibility of each institution.

Upload the imaging file and enter clinical context — demographics, history, study date, area of concern, medications. The more context provided, the more grounded the AI report.

Deep one-click EHR/PACS integration is on the product roadmap. Today, teams typically export or copy structured outputs into existing workflows. HL7/FHIR-ready integration is planned.

Fractify is an AI clinical diagnostic engine that analyzes medical imaging — X-Ray, CT, MRI, and Dental — and generates structured, clinician-reviewed reports with urgency scoring, per-finding confidence, and treatment guidance. Built by Databoost Sdn Bhd.

Clinicians enter patient context, upload imaging, and Fractify's two-stage AI pipeline runs a specialist detection model followed by a structured report engine — returning findings, confidence scores, urgency score, and differentials in seconds. A qualified clinician then reviews and confirms the output.

Diagnostic quality has always been rationed by geography, shift timing, and institutional size. Training a radiologist takes 13 years and the global shortage is measured in hundreds of thousands. The constraint is not headcount — it is the assumption that every imaging read requires a dedicated specialist as a first-pass gatekeeper. Fractify removes that assumption. The scan has always contained the answer. Now it always gets one.

Yes. The platform accepts standard .dcm DICOM files. When 3 or more DICOM files are uploaded, the system automatically enters series mode — selecting the diagnostically representative slice for AI analysis while displaying a full-series montage for the clinician.

6-tier role-based access control, TOTP two-factor authentication with backup codes, an immutable audit log of every user action, multi-tenant hospital data isolation, GDPR-compliant anonymization, active session management with remote revocation, API rate limiting, CSRF protection, and secure file storage outside the web root.

Yes. Every report includes a 1–5 urgency score. At level 4 or 5, a prominently displayed critical banner lists mandatory flags — including Tension Pneumothorax, Acute Hemorrhage, Aortic Dissection, Large Pulmonary Embolism, Herniation with Midline Shift, Acute Ischemic Stroke, and Cardiac Tamponade.

Yes. The platform is built for multi-tenant deployments. Each hospital's data is fully isolated — clinicians only see records from their own institution. Supervisor and Admin roles have cross-institution visibility. Hospital management, user provisioning, and role assignment are all handled from the Admin panel.