The impact of machine learning on patient care: A systematic review
作者：
Highlights：
• The study of machine learning in clinical medicine is mostly limited to proof-of-concept approaches.
• Barriers still remain in place which impede the prospective application of machine learning applications in clinical medicine.
• Overcoming barriers to prospective implementation will likely lead to a fundamental shift in medical practice, with the use of specialized tools aiding the healthcare team in providing better, more personalized, patient care.
摘要
•The study of machine learning in clinical medicine is mostly limited to proof-of-concept approaches.•Barriers still remain in place which impede the prospective application of machine learning applications in clinical medicine.•Overcoming barriers to prospective implementation will likely lead to a fundamental shift in medical practice, with the use of specialized tools aiding the healthcare team in providing better, more personalized, patient care.
论文关键词：Artificial intelligence,Machine learning,Patient care,Clinical practice,Systematic review
论文评审过程：Received 5 June 2019, Revised 11 December 2019, Accepted 30 December 2019, Available online 31 December 2019, Version of Record 8 January 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101785
