Health IT Analytics March 8, 2024
Novel deep learning approach designed to flag disease biomarkers in medical images can generate a ‘map’ to explain its diagnostic reasoning.
A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to tackle the ‘black box’ problem in healthcare artificial intelligence (AI).
The ‘black box’ problem – a phenomenon in which an AI’s decision-making process remains hidden from users – is a significant challenge for the technology’s application in healthcare.
Neural networks, a type of deep learning that mimics the neural networks of the human brain to perform complex tasks, are valuable for differentiating between images and flagging imaging anomalies, but are also prone to...
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