Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Recurrent pregnancy loss (RPL), characterized by multiple miscarriages, remains a condit...
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...
Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...
OBJECTIVE: The potential association between rheumatoid arthritis (RA) and cervical cancer risk is s...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...
BACKGROUND: Menopausal hormone therapy (MHT) is generally thought to be neuroprotective, yet results...
Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...
OBJECTIVE: Ovarian cancer is the most deadly gynaecological malignancy. This study aims to generate ...
BACKGROUND: Endometrial cancer (EC) is the most common gynecological malignancy in developed countri...
Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming...
Cervical cancer is a prevalent malignancy affecting the female reproductive system and is recognized...
INTRODUCTION: Magnetoliposomes represent a transformative advancement in nanomedicine by integrating...
: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...
This study aimed to develop a fully automated semantic placenta segmentation model that integrates t...
OBJECTIVE: There is limited study on predictive models for live births in patients with polycystic o...
BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategi...
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...
: Accurate postural assessment is essential for managing musculoskeletal disorders; however, routine...
INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomogra...