News and reports

News
17 July 2024

AI Chatbots have shown they have an ‘empathy gap’ that children are likely to miss

New study proposes a framework for “Child Safe AI” following recent incidents which revealed that many children see chatbots as quasi-human and trustworthy.

News
17 July 2024

Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease

Cambridge scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer’s disease.

We’ve created a tool which is much more sensitive than current approaches at predicting whether someone will progress from mild symptoms to Alzheimer’s

Zoe Kourtzi

News
10 July 2024

What’s going on in our brains when we plan?

Study uncovers how the brain simulates possible future actions by drawing from our stored memories.

In pausing to think before making an important decision, we may imagine the potential outcomes of different choices we could make. While this ‘mental simulation’ is central to how we plan and make decisions in everyday life, how the brain works to accomplish this is not well understood. 

News
10 July 2024

Artificial intelligence beats doctors in accurately assessing eye problems

A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.

We could realistically deploy AI in triaging patients with eye issues to decide which cases are emergencies.

- Arun Thirunavukarasu

 

News
10 July 2024

Training AI models to answer ‘what if?’ questions could improve medical treatments

Machines can learn not only to make predictions, but to handle causal relationships. An international research team shows how this could make medical treatments safer, more efficient, and more personalised.

Artificial intelligence techniques can be helpful for multiple medical applications, such as radiology or oncology, where the ability to recognise patterns in large volumes of data is vital. For these types of applications, the AI compares information against learned examples, draws conclusions, and makes extrapolations.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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