No. Fractify is clinical decision support. It produces structured triage-style insights from imaging; a qualified clinician must interpret results and make all medical decisions.
Next-Gen Capabilities
Clinician Reviewed
All outputs are rigorously reviewed by leading medical professionals to guarantee ultimate accuracy and patient safety across every modality.
AI-Powered Analysis
State-of-the-art multimodal vision models analyze complex imaging for rapid, infinitely scalable, and highly reliable diagnostics.
Structured Reports
Receive flawlessly structured clinical summaries, severity indicators, and integrated follow-up instructions mapped perfectly to hospital EHR parameters.
What we do
From raw scan to clinical insight: structured, safe, and actionable support for every specialty.
Active Platform Capabilities
Contextual imaging analysis
Analyse scans alongside patient demographics, symptoms, medications, and prior imaging. Includes AI previous scanning to compare with earlier studies for change detection.
AI radiology assistant
Chat limited to the current case status and result page. Interprets only on‑screen information for focused, auditable support.
Disease progression tracker
Track metrics over time with visual trends and milestone events. Highlights improvement or deterioration.
Diagnosis summary
Clear, clinician‑friendly summary: key finding, differential considerations, severity indicators, and red‑flag alerts.
Treatment plan recommendations
Evidence‑aligned options with urgency level, referral suggestions, and follow‑up intervals.
Preventive risk insights
Predict risk for future conditions and suggest protective actions.
Future Expansion (Coming Soon)
Voice-to-Text Clinical Dictation
Integrate an AI voice-transcription model. The doctor can simply speak their final clinical notes into their mic, and the AI merges it seamlessly into the final EHR export.
Patient-Facing "Layman" Summaries
Fractify auto-generates a secondary Patient-Friendly Report, translating medical jargon into compassionate, simple language complete with 3D anatomical diagrams.
Clinic-Wide Analytics Dashboard
Track population health metrics and average AI screening time. Proves ROI to the board.
EHR & PACS integration
One‑click import from PACS and export structured reports to your EHR. HL7/FHIR‑ready.
Collaborative annotations
Share cases, annotate together, and escalate to subspecialists with secure chat and full audit trail.
Tele-Radiology Bridge
1-Click secure WhatsApp sharing to subspecialists.
How It Works
Patient Identification
Patient details and medical history are automatically fetched from your hospital system for accurate context.
Scan Upload
Clinicians upload patient imaging (MRI, CT, Ultrasound, X-Ray) directly to Fractify.
AI-Powered Triage
AI analyzes images and generates a structured triage report with confidence scores.
Clinician Review
Qualified clinicians review AI suggestions and follow the recommended care plan.
Meet the Team
Tarek Barakat
CEO & Founder
PhD Researcher in AI Medical Imaging & Software Development Lead
Mohd Rizam
Co-Founder & CTO
Software Architecture & Healthcare Innovation
Dr. Ammar Bathich
Distinguished Advisor
Distinguished Advisor – Artificial Intelligence & Digital Transformation
Dr. Safaa Naes
Distinguished Advisor
Distinguished Advisor – Medical Sciences & Molecular Medicine
Publisher & clinical trust
Fractify is developed by Databoost Sdn Bhd. The product is clinical decision support—not an autonomous diagnostic system and not a replacement for qualified clinicians. Leadership combines PhD-level AI medical imaging research with software engineering and distinguished medical advisors in AI and molecular medicine.
This marketing site does not collect patient health information. Enterprise deployment, data handling, and regulatory alignment remain the responsibility of each institution. Contact info@fractify.net for commercial inquiries. Always follow local laws and hospital policy.
Frequently Asked Questions
The platform includes workflows for general radiography (X-ray), CT, MRI, and dental imaging. Each modality uses a dedicated structured report (triage, CT/MRI findings, dental tooth-level detail, and more).
The engine uses schema-based structured outputs: repeatable JSON-style fields for condition, severity, confidence, summaries, differentials, follow-up style guidance, and modality-specific sections—so reports are consistent and auditable.
Yes. When you select Arabic or Malay in the app, the model is instructed to return all free-text fields in that language.
When prior visit records exist for the same patient in the system, the pipeline can include a prior-visit comparison (e.g., stable, improved, or worsened) using stored visit summaries.
No. This site only exposes general information and optional contact messages. It is not intended for PHI. Deployment of the clinical application should follow your institution’s privacy and retention policies.
Users upload imaging and enter clinical context (demographics, history, study date, etc.) so the model can interpret images in context. Storage and retention depend on how you host the application.
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.