Scientists create a new artificial intelligence tool that predicts the risk of developing more than 1000 diseases 10 years ago

2 hours ago

2 minutes read

Scientists create a new artificial intelligence tool that predicts the risk of developing more than 1000 diseases 10 years ago

Scientists have been revealed in a recent study published in the & quot & quot; (Nature) British weekly scientific journal, creating a new artificial intelligence tool capable of predicting the risk of more than 1,000 patients.

& nbsp; News in its French publication today, Thursday – that the model can predict whether the patient will develop certain types of cancer, heart attacks and other pathological conditions more than a decade of formal diagnosis.

& nbsp; The head of the oncology team with artificial intelligence at the German Center for Cancer Research (DKFZ) in a statement that & quot; this is the beginning of a new way to understand human health and the development of the disease & quot;

& nbsp;

and announced & quot; Gistong & quot; The tool may & quot; enables early and more convenient interventions & quot;

& nbsp;

and with artificial intelligence in the medical field, the researchers emphasized that this new tool is one of the greatest examples so far on how to use artificial intelligence to help patients. Using anonymous data from 400,000 people in the UK, then tested using data of 1.9 million people in Denmark where the model enables the patterns that, over time, have been able to cause serious health problems – for example, using previous diagnoses and the date of smoking. By taking the arrangement of these events and the time period between them, the model can predict the risk of the patient with various diseases.

& nbsp; They also stated that the model is more accurate in diseases with & quot; the patterns of consistent development & quot; such as some forms of cancer, diabetes and heart attacks, and a type of blood poisoning known as sepsis, as it is generally more accurate in the short term than in the long run. The Acting Director of the European Molecular Biology Laboratory (EMBL) is that the model is less reliable in difficult cases, such as mental health problems, infectious diseases and complications of pregnancy. This model proves that artificial intelligence is capable of & quot; learning a lot about our long -term health habits and using this information to generate useful predictions & quot;

& nbsp;

described & quot; Bernie & quot; This model is that & quot; an important step towards a more specialized and preventive health care approach & quot;

& nbsp;

and the cooperation of the European Molecular Biology Laborat Copenhagen University for the development of this model. Independent experts that the model was trained and tested on British and Danish databases biased in terms of age, race and health results. The researchers said that the tool may help in the future to identify patients at high risk before they get the disease.