Improving care

Improving care with AI

Beyond detection: how AI personalises risk, supports pathologists, tailors treatment and tracks outcomes — and the work needed to make it fair for everyone.

1:1human–AI collaboration outperforms either alone6topics

Improving care with AI

Beyond detection: how AI personalises risk, supports pathologists, tailors treatment and tracks outcomes — and the work needed to make it fair for everyone.

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AI and the radiologist, together

The best results come from human–AI collaboration: the radiologist brings clinical judgement, AI brings tireless pattern recognition.

Risk prediction with AI

Beyond finding today's cancer, AI estimates future risk — combining imaging, genetics and lifestyle to personalise screening.

AI in digital pathology

AI reads tissue slides with quantitative precision, supporting pathologists and improving diagnostic consistency.

Personalised treatment

AI matches each tumour's biology to the most effective therapy, from chemotherapy decisions to radiation planning.

Monitoring treatment response

AI tracks the tumour over time, detecting response or resistance earlier and alerting the team to change course faster.

Bias and fairness in AI

AI trained on unrepresentative data can underperform for certain populations; building fair models is one of the field's most urgent tasks.

Explore the AI knowledge base

Six connected domains, each with its articles, evidence and practical advice — designed as a journey, not a single page.

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