Predictive AI will soon make preventive healthcare possible

Thema:
Artifical intelligence

Health data is essential when it comes to predicting the level of risk of certain illnesses. The fact that this does not yet take place on a large scale is entirely due to the sensitivity of this data. TNO is investigating whether this problem can be overcome through the use of artificial intelligence.

Our healthcare system is more or less all about treating people who are already sick. But that means we are effectively responding to events, rather than controlling them. A much smarter approach would be to use health data to predict the likelihood of someone getting a particular illness or condition. That, after all, would give that person the opportunity to take appropriate preventive measures at an early stage.

Jointly working on ehealth

TNO is currently laying the foundations for an AI system that will make preventive healthcare possible. As part of that operation, we are receiving help from a range of companies and organisations that are also closely involved with medical data and eHealth, such as Connect2Health, MRDM, and Performation.

AI that respects privacy

How great is the risk of a person developing type 2 diabetes within the next five years? This was the question at the heart of the first project, in 2020. It produced some very interesting insights.

Using large quantities of an individual’s health data, artificial intelligence is able to estimate the risk of type 2 diabetes, but without actually collecting the data or storing it in a centralised location.

Instead, it remains at its original location. And from a technical point of view, it is possible to retrieve only the relevant data from the various databases in a way that does not endanger privacy. It is therefore not the case that AI also ‘picks up’ other privacy-sensitive data.

Moreover, the solution takes account of possible bias in the data. This privacy-by-design solution appears to work well in practice. Whether it can actually be used in real-life situations very much depends (due to privacy legislation, among other things) on the exact question for which an answer is needed and the agreements between the parties involved. Work therefore remains to be done in this area.

Macgyver infrastructure

Meanwhile, the next phase is now underway. This sees TNO carrying out a test project in which consumers’ health data is linked with medical data. The researchers themselves refer to a MacGyver infrastructure.

By that, they mean they are building a rapid solution that will meet only the minimum requirements. However, their ambitions are far from minimal. The intended end-result of the plan is a professional AI system and infrastructure to which 17 million smartphones can be connected.

Get inspired

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Educating AI

Informatietype:
Insight
27 September 2022

You can read about how AI is educated in Chapter 1. How can we make clear to AI which goals we want to pursue as humans? Andhow can we ensure intelligent systems will always function in service of society?

Innovation with AI

Informatietype:
Insight
27 September 2022

What does that world look like in concrete terms? Using numerous examples, TNO has created a prognosis for the future in Chapter 2. Regarding construction, for example, in which AI will be used to check the quality, safety, and energy efficiency of buildings before they are actually built. Or healthcare, where robots will partly take over caregivers’ tasks and AI will be able to autonomously develop medicines.

Innovating with innovation AI

Informatietype:
Insight
27 September 2022

How AI will change research itself is explained in Chapter 3. For example, what role will AI be permitted to play in knowledge sharing? And what will happen when we make machines work with insurmountably large data sets?

David Deutsch on the development and application of AI

Informatietype:
Insight
27 September 2022

Peter Werkhoven, chief scientific officer at TNO, joins physicist, Oxford professor, and pioneer in the field of quantum computing, David Deutsch, for a virtual discussion. Deutsch set out his vision in 1997 in the book, The Fabric of Reality. Together, they talk about the significance of quantum computing for the development and application of AI. Will AI ever be able to generate ‘explained knowledge’ or learn about ethics from humans?

Georgette Fijneman on the promise of AI for health insurers

Informatietype:
Insight
27 September 2022

Hanneke Molema, senior consultant healthy living at TNO, interviews Georgette Fijneman, CEO of health insurer Zilveren Kruis since 2017. Both look at the same topic, health, from a completely different perspective. What is the promise of AI for one of the Netherlands’ largest health insurers?