Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes
作者：
Highlights：
• Fifteen Artificial Intelligence in MEdicine (AIME) conferences have been organized over the last 30 years.
• We review the main research themes and investigate their scientific impact.
• Knowledge engeering for medical expert systems dominated the first decade of AIME, while machine learning and data mining prevailed thereafter.
• The work on guidelines and protocols has been highly cited, followed by temporal information management and machine learning/data mining.
• Promising directions for future research are Big Data, personalized medicine, Evidence Based Medicine, business process modeling, process mining and NLP in social media.
摘要
•Fifteen Artificial Intelligence in MEdicine (AIME) conferences have been organized over the last 30 years.•We review the main research themes and investigate their scientific impact.•Knowledge engeering for medical expert systems dominated the first decade of AIME, while machine learning and data mining prevailed thereafter.•The work on guidelines and protocols has been highly cited, followed by temporal information management and machine learning/data mining.•Promising directions for future research are Big Data, personalized medicine, Evidence Based Medicine, business process modeling, process mining and NLP in social media.
论文关键词：Artificial Intelligence in Medicine,Literature review,History of science
论文评审过程：Received 28 January 2015, Revised 17 July 2015, Accepted 17 July 2015, Available online 29 July 2015, Version of Record 16 September 2015.
论文官网地址：https://doi.org/10.1016/j.artmed.2015.07.003
