Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study.

Susan Cheng Shelmerdine Helena Martin Kapil Shirodkar Sameer Shamshuddin Jonathan Richard Weir-McCallnull null

Published in: BMJ (Clinical research ed.) (2022)

When special dispensation for the artificial intelligence candidate was provided (that is, exclusion of non-interpretable images), the artificial intelligence candidate was able to pass two of 10 mock examinations. Potential exists for the artificial intelligence candidate to improve its radiographic interpretation skills by focusing on musculoskeletal cases and learning to interpret radiographs of the axial skeleton and abdomen that are currently considered "non-interpretable."

Keyphrases

artificial intelligence
deep learning
machine learning
big data
convolutional neural network
optical coherence tomography
medical students
human health