The advance of artificial intelligence (AI) in medicine has made a fascinating leap with the arrival of a new model capable of anticipating medical diagnoses years in advance.
This, called Delphi-2m, Use technology similar to that of the famous chatgpt To analyze medical records and predict whether a person could suffer more than a thousand diseases in the next decade or even in a period that covers up to 20 years. This innovation promises to revolutionize the way we understand and manage personal and public health.
What is Delphi-2M and how does this medical AI work?
Delphi-2M is an artificial intelligence model developed by an international team of scientists from the United KingdomGermany, Denmark, and Switzerland. It is based on neuronal networks of the “Transformer” type, the same architecture that chatgpt uses to process natural language. But instead of understanding texts, Delphi-2M interprets medical diagnostic sequences as if they were “grammar of a text.”
With thousands of clinical records of 400,000 people from the United Kingdom and almost two million Danish records, this AI learns to identify complex temporal patterns. For example, it recognizes how a disease or risk factor can lead to another, in a certain order and time. Thus, it can calculate the probability that a patient develops certain diseases, from specific types of cancer to heart attacks or septicemia, years in advance.
The system does not predict absolute certainties, but probabilities. Something like a time forecast works: you can say that there is a 70% chance that you suffer a ailment in a certain period, but without ensuring the fixed result. Its precision varies according to the disease and the temporal framework, being more reliable for diseases with clear patterns and predictable evolution.
Delphi-2M diseases can anticipate precisely
This artificial intelligence is especially effective in predicting chronic or serious pathologies that follow certain predictable sequences. Among the best predicted diseases are:
- Specific cancers: The model identifies the risk of developing various types of cancer with up to two decades in advance, relying on clinical history and lifestyle factors.
- Myocardial infarctions: AI can calculate the probability of suffering a heart attack within 10 years with an approximate accuracy of 70%. This type of disease has concrete patterns that AI can detect in medical history.
- Other serious conditions: It includes diseases such as septicemia and diabetes, which have more stable and documented progressions, which facilitates their long -term prediction.
Nevertheless, AI is less effective in diseases with unpredictable factorssuch as mental disorders or obstetric complications that depend a lot on external events difficult to anticipate. In addition, the model reflects certain biases of the data in which it was trained, so its results must be interpreted cautiously and always in conjunction with human medical opinion.
Impact and future of AI on preventive health
The development of Delphi-2M marks a radical change in preventive and personalized medicine. To power forecast the risk of diseases with years in advanceboth patients and doctors can make more informed decisions about lifestyles, monitoring and preventive treatments. This could reduce health cost and improve the quality of life by acting before diseases manifest clinically.
In addition, these long -term predictions allow Design more effective public health policiesfocused on early interventions for groups with high risk. But important ethical questions also arise: how will this sensitive data be protected? Who will have access to these forecasts? Could they be used by insurers or banks to discriminate against people?
The researchers insist that Delphi-2M is just a first step. In the future, he wants to incorporate more data types – as biomarkers, medical and genetic images – to improve the accuracy and scope of their predictions. In short, this generative AI opens the door to a truly multimodal and anticipative precision medicinewhich can change our approach to health forever.
The Delphi-2m represents a promising technological advance which uses the power of deep learning and the huge sets of medical data to predict more than 1,000 diseases with years in advance. Although it still does not replace medical judgment, it offers an unprecedented look towards the future of our health, helping to anticipate risks and prepare interventions far ahead of symptoms. Without a doubt, a game change for 21st century medicine.
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