Artificial intelligence versus 101 radiologists – Physics World

A commercial artificial intelligence (AI) system matched the accuracy of over 28,000 interpretations of breast cancer screening mammograms by 101 radiologists. Although the most accurate mammographers outperformed the AI system, it achieved a higher performance than the majority of radiologists (JNCI: J. Natl. With the addition of deep-learning convolutional neural networks, new AI systems for breast cancer screening improve upon the computer-aided detection (CAD) systems that radiologists have used since the 1990s. The AI system evaluated in this study -- conducted by radiologists and medical physicists at Radboud University Medical Centre -- has a feature classifier and image analysis algorithms to detect soft-tissue lesions and calcifications, and generates a "cancer suspicion" ranking of 1 to 10. The researchers examined unrelated datasets of images from nine previous clinical studies.