Artificial intelligence and automation of systematic reviews in women's health.

Journal: Current opinion in obstetrics & gynecology
PMID: 32516150

Abstract

PURPOSE OF REVIEW: Evidence-based women's healthcare is underpinned by systematic reviews and guidelines. Generating an evidence synthesis to support guidance for clinical practice is a time-consuming and labour-intensive activity that delays transfer of research into practice. Artificial intelligence has the potential to rapidly collate, combine, and update high-quality medical evidence with accuracy and precision, and without bias.

Authors

  • Carmen Amezcua-Prieto
    Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Granada, Granada.
  • Juan M Fernández-Luna
    Department of Artificial Intelligence and Computer Science, ETS Ingenierías Informática y de Telecomunicación, CITIC-UGR, University of Granada, Granada, Spain.
  • Juan F Huete-Guadix
    Department of Artificial Intelligence and Computer Science, ETS Ingenierías Informática y de Telecomunicación, CITIC-UGR, University of Granada, Granada, Spain.
  • Aurora Bueno-Cavanillas
    Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Granada, Granada.
  • Khalid Saed Khan
    Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Granada, Granada.

Keywords

External Resources

Popular Topics
Recent Journals