VIDEO] Premature death prediction: Discover how this new AI anticipates the deaths of people aged between 35 and 50 with 78% accuracy

A revolution in mortality prediction thanks to AI

The advent of artificial intelligence designed by Danish scientists marked a significant advance in the ability to anticipate premature deaths. This technology, called “life2vec”, stood out for its surprising ability to correctly assess the risks of early mortality among Danes aged 35 to 65 with an accuracy of 78%.

The method used by AI

Data from the entire population of Denmark, more than 5.8 million individuals, formed the basis of this study, published in the scientific journal Nature. The range of information gathered was broad, incorporating medical history, interactions with the health system, but also socio-economic aspects such as education, occupation and income, collected over a period extending from 2008 to 2020.

Artificial intelligence then proceeded to analyze this vast corpus using probabilistic models to estimate fatal outcomes.

What makes this AI unique?

• Using sequences of events in life as data.
• Comparison of the succession of events in human life with linguistic structure.
• Application of probabilistic models to predict mortality risk.
• An impressive 78% accuracy in predicting premature deaths.

The potential implications of the predictive tool

The researchers insist that no individual predictions were communicated to the people analyzed, considering that it would be irresponsible to do so. However, they mention various beneficial applications such as the early identification of health risks or the possibility of acting proactively on social disparities having an impact on public health.

The future of AI in public health and ethical risks

Sune Lehmann Jørgensen, one of the researchers involved in the study, while recognizing the advantages of their artificial intelligence, also expresses his concerns about possible abuses. It warns in particular of the risk that such technologies will be exploited in a way that would undermine fairness, for example, by insurance companies or large technology firms already using personal data for their own predictions.

Ethical Perspectives and Dilemmas

If the introduction of “life2vec” AI opens a new chapter in public health studies, it also raises a fundamental question about the management and ethical use of sensitive data. The preventive benefits of technology must be balanced with respect for privacy and responsible use of the predictions generated.