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

European Radiology Experimental

Table 1 Number of articles on AI in radiology indexed on EMBASE, stratified by imaging modality

Imaging modality	2015	2016	2017
Magnetic resonance imaging	164	230	235
Magnetic resonance imaging	38%	42%	37%
Computed tomography	123	117	177
Computed tomography	29%	21%	28%
Ultrasound	27	32	33
Ultrasound	6%	6%	5%
Radiography	14	14	26
Radiography	3%	3%	4%
Mammography and breast tomosynthesis	23	12	18
Mammography and breast tomosynthesis	5%	2%	3%
Positron emission tomography and single-photon emission tomography	1	7	5
	0%	1%	1%
Other	79	139	134
Other	18%	25%	21%
Total	431	551	628
Total	100%	100%	100%

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). Values were obtained including only “article”, “article in press” and “conference paper” as publication type. EMBASE was accessed on April 24, 2018