Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

Itamar D FuttermanOlivia SherChaskin SaroffAlexa CohenGeorgios DoulaverisPe'er DarMyah M GriffinMeghana A LimayeThomas OwensLois BrustmanHenri RosenbergRebecca JesselScott ChudnoffShoshana Haberman

Published in: American journal of perinatology (2024)

· ML models are useful models are useful in predicting PAS-related surgical morbidity.. · Optimal management for PAS remains unclear.. · Utilizing ML can serve as a foundation for risk and complexity stratification in cases of PAS..

Keyphrases

machine learning
deep learning