Recent study proves artificial intelligence can predict a patient’s lifespan 

 

Orange County, CA - June 16th 2017 -  The University of Adelaide in New Zealand conducted a recent study that proves artificial intelligence can predict a patient’s lifespan just by looking at scans of their organs. This technology has the potential to prevent serious illness through early diagnosis and appropriate supplemental care.

Researchers at the University of Adelaide’s Public Health and School of Computer Science conducted a study using artificial intelligence (AI) to evaluate chest scan images of 48 patients for abnormalities.Computer analysis held a 69% accuracy rate in predicting patient mortality within a 5 year period when compared to traditional clinician predictions.Unprecedented in its nature, this study uses implements AI programming for medical imaging.

Predicting the future of a patient is useful because it may enable doctors to tailor treatments to the individual,” says lead author Dr. Luke Oakden-Rayner, a radiologist and PhD student of the University of Adelaide’s School of Public Health. “The accurate assessment of biological age and the prediction of a patient’s longevity has, so far, been limited by doctors’ inability to look inside the body and measure the health of each organ. Our research has investigated the use of ‘deep learning’, a technique where computer systems can learn how to understand and analyze images.”

Recent study proves artificial intelligence can predict a patient’s lifespan

Although the study was conducted with a small population sample, the researchers believe the computer program has cultivated enough knowledge in combing through hundreds of scans for making predictions, a skillset that takes extensive training for human experts to achieve. As expected, the more confident predictions made from the AI program were made for patients with preexisting severe chronic diseases like congestive heart failure.

The biggest benefit of the AI program is the amount of data it can sift through within a short timeframe. “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 subtle patterns,” Dr. Oakden-Rayner says. This large volume of information can take months for human clinicians to get through, whereas the AI program can perform analysis instantly.

This technology is a huge breakthrough for the medical community. The research team hopes to apply the same AI techniques in the prediction of other important medical conditions, such as heart attack onset or the formation of cancer cells. Due to the small scale of the study, the next step in research involves analyzing tens of thousands of patient scans. Dr. Oakden-Rayner notes the significance of their study: “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.”

 

 

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Recent study proves artificial intelligence can predict a patient’s lifespan    Orange County, CA – June 16th 2017 –  The University of Adelaide in New Zealand conducted a recent study that proves artificial intelligence can predict a patient’s lifespan just by looking at scans of their organs. This technology has the potential to prevent serious illness […]