Development and validation of machine learning models for predicting operative duration in assisted reproductive technology procedures

Key Points

• The aim is to develop and validate machine learning algorithms to predict the duration of operative procedures in assisted reproductive technology.
• Utilized de-identified electronic medical records (EMR) data
• Developed predictive machine learning models
• Conducted validation of model accuracy
• The models effectively predict operative duration
• Demonstrated reliability in estimates
• Facilitated improved planning for assisted reproductive technology procedures