AI CAN HELP DOCTORS FIGHT TUBERCULOSIS.
RADIFY® — Accelerating Diagnosis. Prioritising Care.
RADIFY® is an advanced AI-powered solution designed to assist radiologists in diagnosing more chest X-rays, with greater consistency and in less time — helping healthcare providers prioritise patients who need urgent care the most.
Why Chest X-Rays?
Chest X-rays remain the first-line imaging tool for pneumonia — a condition that is both fast-acting and deadly, especially for patients with tuberculosis (TB). They are accessible, quick, and cost-effective, making them critical in resource-limited settings.
What RADIFY® Detects
RADIFY® detects 16 key abnormalities on chest X-rays, including:
- TB-associated patterns
- Pneumonia-related opacities
- Consolidations, infiltrates, and lymphadenopathy
It can process and prioritise over 2,000 images per minute, enabling rapid triage in both high-volume hospitals and remote point-of-care facilities.
Use Case 1: Elderly Patient with Suspected Pneumonia
Patient:
76-year-old male presenting with chest pain and shortness of breath.
Findings:
Patchy infiltrates in both upper zones and air space opacification in the mid and lower zones.
RADIFY® Output:
Bounding boxes highlight all regions of interest.
Diagnosis:
High probability of pneumonia.
How RADIFY® Helps Hospitals and Clinics
Triage During Overload
Prioritise the most critical cases during scan backlogs or surges.
Support Point-of-Care Diagnostics
Deploy with portable X-ray units to assess patients on-site, in real time.
Monitor Disease Progression
Track patients with mild or recurring symptoms to catch deterioration early.
RADIFY® for Tuberculosis
Tuberculosis is one of the world’s top 10 causes of death, and the leading infectious killer — above HIV/AIDS.
In 2019, TB claimed 1.4 million lives, including 208,000 people living with HIV.
An estimated 10 million fell ill, 1.2 million of whom were children.
In 2020, TB diagnoses dropped by 21% globally, leading to missed treatment opportunities — especially in South Africa, Indonesia, the Philippines, and India.
RADIFY® helps address this gap by:
Detecting TB-associated abnormalities on chest X-rays.
Triaging patients by high, intermediate, and low probability of TB.
Supporting radiologists in both public and private healthcare systems.
Use Case 2: Paediatric TB Detection
Patient:
10-year-old child with suspected TB.
Findings:
Bilateral lymphadenopathy and bi-basal confluent consolidation.
RADIFY® Output:
Regions of interest clearly highlighted.
Diagnosis:
High probability of tuberculosis.
Be part of the future of medical imaging
Fill in the form and a member of our team will get in touch to schedule a demo or answer your questions.
Contact us
+27 11 486 0692 / 0847
Info@envisionit.ai
South African Office
2nd Floor, One-on Jameson Building, 1 Jameson Avenue, Melrose Estate, Johannesburg, 2196
