
An IoT-Enabled Wearable Device for Fetal Movement Detection Using Accelerometer and Gyroscope Sensors.
A recent study reviewed highlights an IoT-enabled wearable device for accurate fetal movement detection. π€°π± It shows promising results!
Discover the newest research about AI innovations in π€° Obstetrics & Gynecology.

A recent study reviewed highlights an IoT-enabled wearable device for accurate fetal movement detection. π€°π± It shows promising results!

New digital platform aids postnatal recovery for mothers. π€± Supports pelvic health and reduces gynaecology wait times. π

AI is transforming medical research, enhancing writing and data analysis. Ethical concerns must be addressed for responsible integration. π€π

Croydon Health Services NHS Trust seeks bids for maternity EPR enhancement, aiming to improve data quality and care. π₯π

New research reveals urine metabolomics can predict gestational age and delivery timing in pregnancy. πΌπ¬

Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. ππ‘

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€