They have created artificial intelligence that is able to predict a person’s death with great accuracy

In a world where technology advances at an astonishing pace, artificial intelligence (AI) has become a beacon of innovation, providing solutions to complex problems. Opening doors to previously unimaginable realities.

One recent example of this progress is the development of “life2vec”, a Artificial intelligence created by the Technical University of DenmarkIt is able to predict with up to 78% accuracy whether someone will die within the next four years. This progress was published in the journal Computational natural sciencesIt represents a major leap in predictive medicine and health data analysis.

The team is led by Sonny Lyman It was able to overcome the limitations of existing models, improving accuracy by 11%. The system uses a database of more than 6 million people, and analyzes variables such as education, health, income and occupation.

Through advanced deep learning algorithm, life2vec not only predicts mortality rate, but also provides insight into different aspects of individuals’ personality and life circumstances. The data, provided by the Danish government through Statistics Denmark, focuses on the population aged 35 to 65 years, a segment that is statistically challenging in terms of predicting mortality.

Ethical implications and future applications

Beyond its technical accuracy, “life2vec” raises major ethical questions. How will this type of information impact community, individual health and lifestyle decisions? The possibility of knowing in advance a potentially fatal outcome can affect the way people choose to live their lives, as well as influencing public health and insurance policies.

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Despite these dilemmas, the potential applications of life2vec in personalized medicine are enormous. By anticipating health problems, doctors can intervene earlier, thus improving the quality of life and potentially prolonging patients’ lives. next to, This technology could be key to medical researchThis helps identify risk factors and disease patterns on an unprecedented scale.

In conclusion, while “life2vec” opens a horizon of possibilities in health and AI, it also reminds us of the importance of addressing the ethical issues that arise with technological advances. This development represents a milestone in the history of artificial intelligence, not only for its predictive power, but also for the profound implications it has on our understanding of life and death.