Artificial intelligence (AI) and deep learning can help analyse images of a patient’s organs to assess potential diseases and predict their potential lifespan, according to new research.
Researchers from the University of Adelaide’s School of Public Health and School of Computer Science, along with Australian and international collaborators, have merged AI and medical images in a first-of-its-kind study. The research was published in the Nature journal Scientific Reports.
This AI-based analysis was able to predict which patients would die within a lifespan of five years, with 69% accuracy – comparable to ‘manual’ predictions by clinicians. While it could not be ascertained what the computer system was viewing in the images to make its predictions, it made the most confident predictions for patients with severe chronic diseases such as emphysema and congestive heart failure.
The automated systems can incorporate large volumes of data and detect subtle patterns and thus aid in diagnosing diseases in a way that surpasses human capabilities. This research is the beginning of exploration of using AI in medical image analysis and offers new hope for the early detection of serious illness, requiring specific medical interventions.
The healthcare market is a fascinating one for artificial intelligence. As this publication previously reported, a study from the UC EXPO event has commissioned a survey that reports that 85% of UK residents polled require AI-assistance to support at least part of their current job. About 44% required AI to do their entire job and desired to only manage the AI system. 57% believed their jobs would be the same in the absence of implementation of AI. As per a survey by Adecco, which polled 2,000 workers across the UK, 48% believe AI will increase workplace flexibility.
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