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University of Nebraska Medical Center

AI Fast-Tracks Disease Risk Predictions

Neuroscience News

Summary: Researchers developed AI software that rapidly analyzes bone density scans to predict a person’s future risk of health conditions, such as heart attacks, stroke, falls, fractures, and dementia.

The software looks for signs of abdominal aortic calcification (AAC), a predictor of these conditions. While human experts typically take 5-15 minutes to analyze each scan, the AI can process 60,000 images in one day.

The algorithm accurately matches expert conclusions 80% of the time, representing a significant advancement in early detection and disease monitoring.

Key Facts:

  1. The AI software is capable of analyzing bone density scans to detect signs of abdominal aortic calcification (AAC), a predictor of future health conditions.
  2. The AI can process 60,000 images in one day, compared to a human expert who typically takes 5-15 minutes per image.
  3. The algorithm matches the conclusions of human experts 80% of the time, and only 3% of high AAC levels were incorrectly diagnosed as low by the software.

Source: Edith Cowan University

Thanks to artificial intelligence, we will soon be able to predict our risk of developing serious health conditions later in life, at the press of a button. 

Abdominal aortic calcification, or AAC, is a calcification which can build up within the walls of the abdominal aorta and predicts your risk of developing cardiovascular disease events such as heart attacks and stroke. 

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