obstetrics

Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".

making codes to modularize the process of diagnosing in obstetrics and gynaecology as a medical doctor

Uisoo Chae M.D., Board-certified OB/GYN. https://mdchae.netlify.com

Obstetrics and gynaecology resources to help provide the best in patient care. This repository contains the source for the www.obsgynae.com.au site.

Contrastive Representation Learning for Ultrasound Videos

A comprehensive research project comparing different Retrieval-Augmented Generation (RAG) techniques applied to medical question-answering in obstetrics.

Clinical risk stratification tool for late-onset preeclampsia in Filipino pregnant women · WVSUMC COM MG4 · 2026

[npj Digital Medicine 2026] Dynamic prediction of preterm birth and gestational age at delivery based on longitudinal electronic health records

Dorsata — independent third-party profile of a public API surface, by API Evangelist. Dorsata is a women's health technology company based in Arlington, Virginia that reimagines the electronic health record (EHR) experience for obstetrics and gynecology providers, life sciences, and health plans.

PAESOE (Professional Association of Integrated Emergency Surgical Officers of Ethiopia) Website

Segmentation auto & biométrie tête fœtale (échographie 2D) par I-JEPA | Olivier Ami 2026

Hangzhou Maria Obstetrics and Gynecology Hospital Knowledge Q&A

App móvil para consultorios de ginecología y obstetricia: historias clínicas, control obstétrico, ecosonografía y próxima cita. Datos guardados solo en el dispositivo.

Analysis code and results for a study of long-term maternal mortality after pathologic placental separation, published in PLOS ONE (2026).

COVID geospatial project for obstetrics & gynecology.

Evidence-first population health analytics for value-based care, clinical quality improvement, and community health.

explainability of models applied to obstetric medical imaging

A curated, citation-backed, confidence-tier-annotated dataset of human gestational physiology, distributed as a Python package (pip install nidus) with an interactive Streamlit dashboard. JSON + JSON Schema, MIT/CC-BY-4.0, Zenodo-deposited.