Signify Premium Insight: Addressing the Shortcomings of AI
Published: October 5, 2021
A literature review recently published in the BMJ concluded that artificial intelligence tools are still some way off outperforming radiologists in the reading of breast images. The team conducting the research, based at the University of Warwick (UK), reviewed 12 studies published across the last decade, and found that 34 out of 36 tools (94%) performed less accurately than a single radiologist, while all 36 algorithms were found to be less accurate than the double reading of two radiologists in breast screening programmes. These, and other findings of the review appeared damning, leaving the researchers to conclude that: “Current evidence on the use of AI systems in breast cancer screening is a long way from having the quality and quantity required for its implementation into clinical practice.” With the team highlighting that far more clinical validation studies are needed to properly evaluate commercially available AI systems.
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Machine Learning in Medical ImagingPublished June 2021
Machine Learning in Medical Imaging
This report is the 4th edition of our highly detailed, data-centric analysis of the world market for AI-based image analysis tools. An essential business planning tool to understand the current status and projected development of the market.
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