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

European Radiology Experimental

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

Body parts	2015	2016	2017
Central nervous system	163	235	211
Central nervous system	38%	43%	34%
Bone, spine and joints	29	37	54
Bone, spine and joints	7%	7%	9%
Cardiovascular	24	32	49
Cardiovascular	6%	6%	8%
Breast	41	39	50
Breast	10%	7%	8%
Urogenital	40	25	52
Urogenital	9%	5%	8%
Thorax and lungs	36	21	46
Thorax and lungs	8%	4%	7%
Abdomen	28	27	36
Abdomen	6%	5%	6%
Other	70	135	130
Other	16%	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) 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