Researchers Use AI to Detect Wrist Fractures (IMAGE)
Caption
Scatter plot of the confidence score of the detection convolutional neural network (CNN) versus the average confidence score of the radiologists per fracture case (n = 95) and nonfracture case (n = 95) in Dataset 3. Fracture and nonfracture cases are respectively marked with a red and blue color (ground-truth). The confidence scores range from 0 to 1, where 1 means absolute certainty that a fracture is present. Example radiographs where the CNN and radiologists showed a high disagreement are shown next to the plot: (a) 17-year-old male with a proximal scaphoid fracture; (b) 21-year-old male with a fracture of the distal pole of the scaphoid (volar and radial side); (c) 45-year-old female with an intact scaphoid with a slightly irregular radial side; (d) 13-year-old female with an intact scaphoid with no irregularities.
Credit
Radiological Society of North America
Usage Restrictions
May use with credit.
License
Licensed content