Afya eHealth

Why Artificial Intelligence for Skin Cancer?

In 2019, pioneers Yann LeCun, Geoffrey Hinton , and Yoshua Bengio received the Turing Award for their breakthroughs in neural networks, driving today’s AI revolution. Their innovations are now transforming not only how we drive cars or interact with technology, but also how we detect and diagnose disease.

Early and accurate diagnosis is the key to beating deadly diseases like cancer. Yet, traditional medical diagnostics especially for skin cancer remain challenging, subjective, and often inaccessible in many parts of the world.

Each year, over 10 million people die of cancer globally.

Skin cancer rates are rising, with early detection critical for survival World Health Organization: Cancer Facts

AI can analyze skin images rapidly, consistently, and objectively, reducing risk of misdiagnosis and bringing expert analysis to more people.

By harnessing AI, we can empower doctors and patients with faster, more accurate, and more widely accessible toolshelping save lives and transform healthcare for everyone, everywhere.

Read more: AI Challenges & Healthcare Impact

Challenge: Early, precise detection is crucial, but time-consuming and sometimes subjective.
AI Opportunity: Algorithms can identify subtle patterns in skin images that humans might miss.
Efficiency: Automation allows healthcare workers to focus on complex tasks and reach underserved areas.
Ethics & Data: Data privacy, bias, and ongoing model validation are important for real-world impact.

This project is inspired by the latest research, global health needs, and a commitment to making diagnostics better for all.

Read more: The Origins of AI & Predictive Health

From Turing’s Test to Modern Medical AI

In 1950, Alan Turing imagined a test to see if a machine could imitate a human. While his ideas inspired decades of research, they also created both excitement and some misconceptions about AI's true capabilities.

AI’s founders, including John McCarthy and Marvin Minsky, built early neural network machines—paving the way for today's deep learning breakthroughs.

In healthcare, predictive AI helps anticipate risks before they happen and enables early detection of diseases such as cancer, diabetes, or even new pandemics. Deep learning now allows computers to learn from massive medical datasets, making accurate, early diagnoses more accessible than ever.

Global cancer cases exceeded 18 million in 2020. AI models such as neural networks, decision trees, and support vector machines are transforming how we classify patients, predict health risks, and guide treatments.

More on the World Health Organization
Deep learning’s impact: Nature: Deep learning in neural networks
About the Turing Award: amturing.acm.org

Saving Lives through Accurate Health Diagnosis

Early, careful diagnosis saves countless lives this is our mission.

We believe in offering true assistance and support when it matters most.

Life with cancer is possible, especially with timely help and hope.

Every year, cancer kills thousands but early detection changes outcomes.

Many hospitals still lack equipment for timely diagnosis we bridge the gap with technology.

We collaborate with cancer societies and researchers worldwide for a healthier tomorrow.

Afya eHealth

Empowering Early Diagnosis
through Image Analysis

Saving Lives through Accurate Health Diagnosis

Upload Your Image

Analysis Results

Empowering Early Diagnosis through Image Analysis

Saving Lives through Accurate Health Diagnosis

Upload Your Image

Analysis Results

Empowering Early Diagnosis
through Image Analysis