New AI Model Warns of Diseases. It Is Designed to Help Patients

Artificial Intelligence in Medicine Predicts Future Illnesses

Artificial Intelligence in medicine is no longer the future—it is rapidly becoming the present. Not only does it support research and treatment, but it is also increasingly bold in the area of disease recognition before the first symptoms show.

The latest breakthrough comes from Germany and Denmark: scientists have created an AI model that analyzes a patient’s medical history, test results, and lifestyle to predict which diseases might threaten their health up to ten years earlier than a doctor could detect them.

This artificial intelligence thinks like a language learning program—except that instead of words, it “reads” health data. In this way, it learns how to recognize health threats before a physician does.

AI and Health: A Breakthrough Model Created in Germany and Denmark

First, the AI was trained on the data of 400,000 Britons. Once it “understood” the patterns, the test came—the model was validated against information from as many as 1.9 million Danes.

This tool “reads” a person’s health history like a movie—step by step, scene by scene. It analyzes what happened, in what sequence, and with what gaps, from diagnoses to daily habits like smoking. Based on this, the AI learns to predict what may happen next—which diseases might emerge.

Research published in the scientific journal Nature shows that we are one step closer to a revolution in medicine.

What Diseases Can Artificial Intelligence Predict?

The model excels at detecting predictable illnesses—like heart attacks, sepsis, or certain cancers. However, it performs less well where health is more unpredictable—for example, with mental disorders or pregnancy complications.

Although the tool is still in the testing phase, it can already support doctors. It helps to better:

• understand how diseases develop and progress over time,
• investigate how lifestyle and past illnesses affect long-term risk,
• simulate health outcomes using artificial patient data—in situations where real-world data is difficult to obtain.

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The Limits of AI in Medicine

It is important to remember that this invention does not provide certain diagnoses, but only prognoses. It does not predict exactly what will happen to a specific person, but it estimates the risk of a disease occurring within a specified time. For example, it can indicate the probability of developing heart disease within a year.

Unfortunately, like any invention, this tool also has its limitations. It was tested mainly on individuals between 40 and 60 years old, so information about childhood and early adulthood is missing. Furthermore, the lack of certain data from various ethnic groups may affect the accuracy of the forecasts.

Despite its limitations, this model is one of the most advanced examples of AI in medicine for diagnostics. It can track disease progression across two healthcare systems. Hopefully, it will be used widely soon.

Read this article in Polish: Nowy model AI ostrzega przed chorobami. Ma pomóc pacjentom