Artificial intelligence in the service of life
AI is transforming the fight against breast cancer: it assists doctors, speeds up diagnosis, improves screening and opens up new research perspectives. Discover a complete, science-based knowledge base.
From mammography to machine learning
Artificial intelligence analyses medical images and data with remarkable speed and accuracy. In breast cancer care, it plays four connected roles: reading images, predicting risk, supporting treatment and accelerating research. Each page in this section explains one link in that system — and how the links fit together.
Reading images
AI flags suspicious areas on mammograms, ultrasounds and MRIs — with the radiologist making the final decision.
Predicting risk
Models combine imaging, genetics and lifestyle to estimate future risk and personalise screening.
Supporting treatment
AI helps tailor therapy, plan radiation and monitor treatment response.
Accelerating research
From clinical trials to biomarkers, AI speeds up the discovery of better answers.
The evidence in numbers
more cancers detected with AI-supported screening, reported by a Swedish trial
fewer false positives with AI-assisted reading, in a large American study
mammograms analysed in landmark validation studies
of FAQs, 33 articles and 6 sections in this knowledge base
AI technology in action
A cinematic look at the technology behind this knowledge base: holographic scans, neural networks and the humans who work with them.
How does AI help in this field?
Artificial intelligence analyses medical images and data with remarkable speed and accuracy.
Medical image analysis
AI reads mammograms, ultrasounds and MRIs to detect abnormalities, sometimes before they are visible to the human eye.
Early detection
Algorithms identify suspicious signs at an early stage, when treatment is most effective.
Radiologist assistance
AI acts as a second reader, reducing errors and helping specialists make more confident decisions.
Accelerating research
AI explores large volumes of data to discover new patterns and improve treatments and solutions.
AI solutions in the fight against breast cancer
Several technologies are already at work in the field.
AI-assisted screening
AI-assisted screening mammography and ultrasound for greater accuracy.
Risk prediction
Models that estimate the risk of developing breast cancer from personal and genetic data.
Digital pathology
AI that analyses tissue samples to support the pathologist's diagnosis.
Personalised treatment
Recommendations tailored to each patient according to the characteristics of the tumour.
Treatment monitoring
Tools that track the progression of the disease and the response to treatment.
Patient support
Smart assistants that answer questions and guide patients every day.
Explore the AI knowledge base
Six connected domains, each with its articles, evidence and practical advice — designed as a journey, not a single page.
The AI Playground
You have read how artificial intelligence works. Now try it. Three short, hands-on experiments let you train a model, build an AI pipeline and review an AI's decisions like a responsible professional — all inside your browser.
Concrete benefits
SMART PINK solutions
SMART PINK turns AI into accessible, useful solutions.
The smart app
A smart app that guides patients, informs doctors and connects all the players in the ecosystem.
The research dashboard
A dashboard where SMART PINK publishes its research on the use of AI in detection and in finding solutions in this field.
Community knowledge
A space for sharing expertise among doctors, clinics, laboratories and NGOs, enriched by AI.
Frequently asked questions
Straight answers on AI in breast cancer care: accuracy, approvals, safety, bias and what AI can — or can't — do.
On average, studies show that AI-assisted reading finds more cancers than a radiologist alone — a Swedish trial reported around 20% more. But the best results come from human–AI collaboration, not either one alone. AI never replaces the radiologist; it supports them.
In the United States, several AI systems are FDA-cleared for breast imaging. In Europe, AI devices must carry the CE mark under the Medical Devices Regulation and increasingly satisfy the European AI Act. Approval varies by country — ask your centre which systems it uses and what evidence supports them.
No. AI is a decision-support tool. A radiologist or pathologist examines every case and makes the final decision. If AI flags something, a human reviews it. If they disagree, the case is re-read. Your doctor remains the decision-maker.
The model converts the image into numerical features and compares them with patterns learned from hundreds of thousands of annotated mammograms. It highlights regions it judges suspicious and assigns a risk score. Radiologists see those highlights and decide what happens next.
Turning knowledge into action
Learn to talk about AI-assisted care with your doctor, ask the right questions about screening and support the SMART PINK mission: smart, accessible care for everyone.
Artificial intelligence assists medical teams; it never replaces a doctor's clinical judgement. Always follow the advice of a health professional.
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