Death is not the opposite of life, but a part of life, the part that is inevitable and unpredictable. No one’s quite sure when the grim reaper will come calling for them, Right? Well, you might want to reconsider, because, a new Artificial Intelligence (AI) powered system might be able to predict your expiration date.
Australian scientists from the University of Adelaide have built an AI system that can predict how long a person might live simply by looking at the images of their organs.
The researchers used AI to analyse the medical imaging of 48 patients’ chest, which included tissue images of the aorta, heart, lungs, body fat, muscles and bones. The system was able to predict which patients would die over the next five years with about 69 percent precision, a rate that is comparable to manual predictions made by doctors, researchers said in a report.
“Although for this study only a small sample of patients was used, our research suggests that the computer has learned to recognise the complex imaging appearances of diseases, something that requires extensive training for human experts,” said lead author Dr Luke Oakden-Rayner.
The researchers could not identify exactly what the computer system was seeing in the images to make its predictions, but they do know that it uses large number volumes of data that may be particularly telling for health risks.
The predictions were most accurate for patients with severe chronic diseases like congestive heart failure and emphysema.
“Instead of focusing on diagnosing diseases, the automated systems can predict medical outcomes in a way that doctors are not trained to do, by incorporating large volumes of data and detecting a subtle pattern,” Dr Luke added.
“Our research opens new avenues for the application of artificial intelligence technology in medical image analysis, and could offer new hope for the early detection of serious illness, requiring specific medical interventions,” he further added.
The researchers are hoping to apply the same techniques to predict other important medical conditions, such as the onset of heart attacks.
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