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Xolani Health

by Xolani Health · Since 2021
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Active1+ countries
Quick facts
VendorXolani Health
Year launched2021
StatusActive
LocationNo5. Kwaji Close, Maitama, Abuja., No5. Kwaji Close, Maitama, Abuja., Maitama, Federal Capital Territory 900211, NIGERIA
Countries served1+
Languages1
Integrations
Free tier
Free trial
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About Xolani Health

Xolani Health is a health technology platform from Xolani Health providing AI solutions to help modernize and digitize clinical operations. It offers features such as XolaNets, communication options via +234 904 000 4400, and support through hello@xolanihealth.com to improve the management and utilization of health data. Xolani Health aims to maximize the value derived from expanding health data while improving operational efficiency in various clinical settings. The platform focuses on integrating advanced technologies to facilitate data-driven decision-making in healthcare. Key capabilities: XolaNets communication support AI-driven insights data management clinical operations modernizing Best for: healthcare providers that need to manage and analyze extensive health data effectively.

Xolani Health is an African health-tech company focused on transforming radiology and clinical decision-making through artificial intelligence and collaborative digital platforms. Selected for the Techstars Tel-Aviv accelerator program (March 2023), Xolani Health positions itself at the intersection of AI, medical imaging, and tele-radiology to address critical gaps in healthcare access and diagnostic efficiency across Africa. At the core of its offering is XolaNets, a suite of proprietary AI models trained to analyze medical images and videos for disease detection and clinical assessment. These models support the identification of conditions such as COVID-19 (via chest X-rays), breast cancer (through mammography), malaria (from blood smear images), and cardiac conditions, including the estimation of ejection fraction from echocardiogram videos. By automating complex image interpretation tasks, XolaNets improves diagnostic speed and accuracy while supporting healthcare professionals with data-driven insights. Complementing XolaNets is Xolani Bridge, a purpose-built imaging and tele-radiology platform designed to integrate seamlessly into existing clinical workflows. Xolani Bridge enables real-time collaboration between hospitals and a global network of radiologists, helping reduce reporting delays and improve patient outcomes.

Pros & Cons

What users like
  • +Improves diagnostic speed and clinical efficiency.
  • +Reduces dependence on on-site radiologists.
  • +Supports multiple diseases with AI-powered models.
  • +Enhances collaboration between healthcare professionals.
  • +Available across web, desktop, and mobile platforms.
What users flag
  • Relies on quality of medical imaging for accuracy.
  • AI model coverage is limited to specific diseases.

Features

Key features

AI-Assisted Radiology – Uses artificial intelligence to support faster and more accurate medical image interpretation.
Tele-Radiology Platform – Enables hospitals to access radiologists remotely through real-time collaboration tools.
XolaNets AI Models – Proprietary AI models trained to detect multiple diseases from medical images and scans.
Real-Time Collaboration – Allows healthcare professionals to collaborate instantly during image review and diagnosis.
AI Diagnosis – Identifies diseases using X-ray images, blood smear images, and echocardiogram videos.
Speed and Accuracy – Improves diagnostic turnaround time while maintaining high accuracy levels.
Xolani Bridge – Integrates imaging, teleradiology, and global radiologist access into clinical workflows.
Multi-Platform Access – Available as a web-based application, PC application, and mobile application.
Clinical Workflow Integration – Seamlessly fits into existing hospital and radiology processes.
Global Radiologist Network – Connects hospitals with radiologists worldwide for timely interpretations.

Additional features

Chest X-Ray Analysis – Detects COVID-19 infection from chest X-ray images.
Mammography Analysis – Classifies breast cancer scans as benign or malignant.
Malaria Detection – Identifies malaria parasites from microscopic blood smear images.
Cardiac Imaging Analysis – Calculates heart ejection fraction from echocardiogram videos.
Image-Based Diagnosis – Processes medical images using trained AI models.
Disease Classification – Differentiates between healthy and diseased cases.
Remote Image Sharing – Allows medical images to be shared securely for expert review.
Radiologist Access – Provides hospitals with on-demand access to qualified radiologists.
Digital Imaging Platform – Centralizes medical imaging and interpretation online.
Cross-Facility Collaboration – Supports collaboration across hospitals and clinics.
Scalable Deployment – Supports use across different healthcare facility sizes.

Pricing

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Countries & Languages

1
Countries served
1
Interface languages
4
Billing currencies

Available in

Nigeria

Interface languages

English

Billing currencies

🇳🇬NGN🇺🇸USD🇪🇺EUR🇬🇧GBP

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