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Table 2 Number of articles indexed on EMBASE stratified by radiology subspecialty/body part

From: Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Body parts 2015 2016 2017
Central nervous system 163 235 211
38% 43% 34%
Bone, spine and joints 29 37 54
7% 7% 9%
Cardiovascular 24 32 49
6% 6% 8%
Breast 41 39 50
10% 7% 8%
Urogenital 40 25 52
9% 5% 8%
Thorax and lungs 36 21 46
8% 4% 7%
Abdomen 28 27 36
6% 5% 6%
Other 70 135 130
16% 25% 21%
Total 431 551 628
100% 100% 100%
  1. Search query: (‘artificial intelligence’/exp. OR ‘artificial intelligence’ OR ‘machine learning’/exp. OR ‘machine learning’ OR ‘deep learning’/exp. OR ‘deep learning’) AND (‘radiology’/exp. OR ‘radiology’ OR ‘diagnostic imaging’/exp. OR ‘diagnostic imaging’) AND ([english]/lim) stratified by radiology subspeciality/body parts. Values were obtained including only “article”, “article in press” and “conference paper” as publication type. EMBASE was accessed on April 24, 2018