Healthcare in Africa

Leveraging AI to Bridge Africa's Medical Imaging Gap

Expanding healthcare access to 1.5 billion people by training a specialized healthcare workforce of local annotators to interpret medical images and expand their diagnostic knowledge base.

Our Measurable Impact Goals (by 2030)

Measurable outcomes that demonstrate our commitment to transforming healthcare access across Africa

15,000+
Healthcare Workers Trained
In medical imaging, AI data annotation, and RCM
24
African Countries
With active training and employment programs
2.5M+
Medical Images Annotated
Contributing to diverse AI training datasets
65%
Women in Workforce
Promoting gender equality in healthcare tech
80%
Youth Employment
Creating opportunities for under-30 professionals
$1B+
Economic Impact
In wages and local economic development

The AI Healthcare Data Gap: 1 Billion People Excluded

Most AI health systems are trained using data largely collected in high-income countries, which means that close to 1 billion people in low- and middle-income countries are not well represented in diagnostic models. More than 80% of genetics studies focus on a limited portion of the global population. When training data does not reflect the full range of human variation, AI-powered tools may be less accurate in different populations, leading to missed or incorrect diagnoses and reinforcing existing gaps in health outcomes.

1B+
People Excluded from AI Healthcare
<20%
Genetics Studies with African Data
6.1M
Healthcare Worker Shortage in Africa
20+
Countries We're Transforming

Our Approach: Building Inclusive AI Healthcare Infrastructure

PeakPoint Services addresses the AI healthcare gap through comprehensive training programs, diverse medical data annotation, and sustainable employment creation that ensures African populations are represented in global AI systems.

Medical AI Data Annotation Training

We train African healthcare professionals to annotate medical images and data for AI systems, ensuring diverse representation in diagnostic algorithms. This creates both employment and ensures AI systems work accurately for African populations.

MRI & Medical Imaging Excellence

By providing world-class training in MRI imaging and interpretation, we enable healthcare workers to contribute high-quality medical data that represents African populations in global AI training datasets.

Healthcare Technology Access

We establish training centers with medical imaging technology, giving healthcare workers hands-on experience with tools they wouldn't otherwise access, while generating diverse data for AI systems.

Opportunity-Focused Employment Practices

Our HealthTech solutions create meaningful, well-paying jobs (65% women, 80% youth) in healthcare AI support services, ensuring underserved communities benefit economically from the AI revolution.

Our Focus Areas

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Medical AI Data Annotation

Training professionals to annotate medical images for AI systems, ensuring African populations are represented in diagnostic algorithms

🏥

MRI & Medical Imaging

Training radiographers in MRI, CT, and X-ray imaging to generate diverse medical data for AI training

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Healthcare Revenue Cycle

Training specialists in healthcare billing and coding to support health systems globally

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Health Access Programs

Ensuring underserved communities have access to AI healthcare training and employment opportunities

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Our Mission

To decentralize access to healthcare technology and AI training across Africa, ensuring that African populations are represented in medical AI systems and that healthcare workers have the skills to leverage these technologies for better patient outcomes.

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Our Vision

By 2030, we envision an Africa where every healthcare worker has access to world-class AI training, where African medical data contributes to global AI systems ensuring accurate diagnosis for African patients, where AI-assisted diagnostics have helped reduce cancer deaths by 30% through early detection, where 24+ African countries have trained professionals delivering AI-powered healthcare, and where every patient benefits from AI that recognizes and serves their unique healthcare needs.

UN Sustainable Development Goals Alignment

Our work directly contributes to achieving the United Nations Sustainable Development Goals

3

Good Health and Well-being

To ensure all human beings have access to quality health services whenever and wherever they need them

4

Quality Education

To provide world-class medical AI and technology training

5

Gender Equality

To ensure 65% women workforce in healthcare tech

8

Decent Work and Economic Growth

To create sustainable jobs Target: 80% youth employment (under 30)

9

Industry, Innovation and Infrastructure

To build AI healthcare infrastructure in Africa

10

Reduced Inequalities

To bridge the AI healthcare gap for 1.5 billion people

Our Theory of Change

A systematic approach to creating sustainable impact in healthcare access across Africa

Inputs

  • Training Infrastructure
  • Medical Technology Access
  • Research Partnerships
  • Funding & Academia

Activities

  • Medical AI Data Annotation
  • MRI Imaging Training
  • Diverse Dataset Creation
  • Research Collaboration

Outputs

  • 15,000+ Trained Professionals
  • 2.5M+ Annotated Images
  • 65% Women Workforce
  • 80% youth under 30
  • 24+ Countries Served

Outcomes

  • Inclusive AI Diagnostic Systems
  • 1B+ Economic Impact
  • Improved healthcare access
  • Career Development

Impact

Access to quality healthcare systems that recognize and serve African populations, ensuring 1.5 billion people aren't left behind in the AI revolution

Partner With Us to Bridge the AI Healthcare Gap

We welcome partnerships with grant organizations, impact investors, healthcare institutions, and technology providers who share our vision of inclusive AI healthcare.

Let's discuss how we can ensure 1.5 billion people aren't excluded from AI healthcare benefits.

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Grant Partnerships
Funding for inclusive AI training programs
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Impact Investment
Sustainable model addressing AI healthcare inequality
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Strategic Alliances
Healthcare AI institutions and technology providers