Artificial Intelligence Algorithms Predict Death with 80% Accuracy
Artificial Intelligence Algorithms Predict Death
British scientists have developed an algorithm with the capability to predict a person’s death with an impressive accuracy of 80 percent. By incorporating artificial intelligence, they’ve analyzed specific health parameters, harnessing AI algorithms to yield highly valuable predictions, essentially allowing artificial intelligence to predict death.
While neural networks have long been associated with robotics and biology, this scientific field is now making its way into various aspects of life. Through this technology, the parameters of an individual can be analyzed to make predictions about their potential survival.
This algorithm holds particular promise for cardiac patients. Those with heart conditions can receive advanced warnings of a possible heart attack, providing a precise time frame for potential risk. By analyzing the patient’s blood and pulse data through sophisticated artificial intelligence algorithms, this system can provide early indications of defects that could lead to a cardiac arrest.
Initial tests have been conducted on individuals diagnosed with pulmonary hypertension, a condition that often results in permanent heart damage, causing one-third of patients to succumb within five years of diagnosis.
The data acquisition technology collects patient data and feeds it into the artificial algorithm program. After applying these algorithms, the application predicts the potential lifespan of an individual, indicating whether they might face the risk of death within the next year. This groundbreaking algorithm has shown an impressive effectiveness rate of 80 percent, with participating doctors confirming a success rate of 60 percent.
Having access to information about critical cases is invaluable for doctors, as they can initiate immediate treatment to maximize the chances of recovery. Following these successful experiments, the plan is to implement these algorithms in other hospitals to provide advanced information about potential health risks and reduce the fatality rate among heart patients. The authors of this experiment and the algorithms also suggest that this technology may be employed in the treatment of cardiomyopathy.
Source: BBC