Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Abortion is an important and controversial issue and one of the important reasons for th...
Accurate measurement of hallux valgus angle (HVA) and intermetatarsal angle (IMA) is essential for d...
Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...
BACKGROUND: Menopausal hormone therapy (MHT) is generally thought to be neuroprotective, yet results...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...
OBJECTIVE: The potential association between rheumatoid arthritis (RA) and cervical cancer risk is s...
Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...
OBJECTIVE: Ovarian cancer is the most deadly gynaecological malignancy. This study aims to generate ...
INTRODUCTION: Magnetoliposomes represent a transformative advancement in nanomedicine by integrating...
Cervical cancer is a prevalent malignancy affecting the female reproductive system and is recognized...
Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming...
BACKGROUND: Endometrial cancer (EC) is the most common gynecological malignancy in developed countri...
This study aimed to develop a fully automated semantic placenta segmentation model that integrates t...
: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...
BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategi...
OBJECTIVE: There is limited study on predictive models for live births in patients with polycystic o...
Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...
BACKGROUND: Cervical cancer (CC) is one of the most common gynecological malignancies. Previous stud...
Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, of...
The blood-brain barrier (BBB) represents a formidable challenge in the treatment of neurological dis...
INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomogra...