Artificial intelligence in radiology

@article{Hosny2018ArtificialII,
  title={Artificial intelligence in radiology},
  author={Ahmed Hosny and Chintan V Parmar and John Quackenbush and Lawrence H. Schwartz and Hugo Jwl Aerts},
  journal={Nature Reviews Cancer},
  year={2018},
  volume={18},
  pages={500-510}
}
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a rapid pace. Historically, in radiology practice, trained physicians visually assessed medical images for the detection, characterization and monitoring of diseases. AI methods excel at… CONTINUE READING
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