Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
The objective of the present study was to examine the relationship between the gases in a cow's uter...
OBJECTIVE: To develop machine learning models, facilitate a more accurate diagnosis of ovarian cance...
This study presents a comparative evaluation of a Variational Autoencoder (VAE) enhanced with Mini...
Using methylation characteristics of human genes to construct machine learning predictive models fo...
The increasing demand for efficient last-mile delivery in smart logistics underscores the role of ...
Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology ...
Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...
A key step in Adaptive Radiation Therapy (ART) workflows is the evaluation of the patient's anatom...
Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have ...
The integration of Large Language Models (LLMs) into healthcare settings has gained significant at...
OBJECTIVES: To evaluate the interobserver agreement and diagnostic accuracy of ovarian-adnexal repor...
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language proc...
Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...
OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...
This study explores a data-driven approach to discovering novel clinical and genetic markers in ov...
Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the...
In vitro fertilization-embryo transfer (IVF-ET) stands as one of the most prevalent treatments for...
Image analysis is a key tool for describing the detailed mechanisms of folliculogenesis, such as e...
In several two-sided markets, including labor and dating, agents typically have limited informatio...
OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification...
As artificial intelligence (AI) becomes increasingly embedded in healthcare delivery, this chapter...