Revolutionizing medicine: Unlocking the potential of machine learning

The authors of a new article in BMC Pregnancy and Childbirth used a machine learning approach to develop four models to evaluate the important variables in predicting fetal heart rate changes after neuraxial analgesia in healthy pregnant patients. Here, Dr. Efrain Riveros and Bibiana Avella discuss the benefits and challenges of machine learning in medicine, as well as the key findings and distinctions between the four models presented in their article.