Discover the newest research about AI innovations in π€° Obstetrics & Gynecology.
Exploring barriers and facilitators for CAD tool adoption in cervical cancer detection in Western Cameroon. π©Ίπ»
Intrahepatic cholestasis of pregnancy: key risk factors and machine learning models for better diagnosis. π€°π‘
This study reviews machine learning models predicting vaginal laxity risk in women, enhancing pelvic floor health. π€πͺ
Exploring AI’s role in diagnosing and managing venous thromboembolism. Insights from Gupta et al. highlight significant advancements. π©Ίπ€
A recent study developed a machine learning model to predict postpartum depression, highlighting key risk factors. π€±π
Vaccination during pregnancy is vital for maternal health. π©Ί Insights from healthcare professionals reveal key factors for improvement. π
Machine learning shows promise in predicting preeclampsia, enhancing early intervention strategies. π€π Further research is essential for broader applicability.
New research highlights the role of nuchal thickness in predicting small-for-gestational-age infants. ππ€° Machine learning models show promise.
Exploring the role of GYNs in expanding access to fertility care. π€π‘ Innovations and collaboration are key!
NHS Trust offers at-home testing kits for gestational diabetes, improving access to care for expectant mothers. π₯πΆ
