Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
RATIONALE AND OBJECTIVES: To assess the feasibility and efficacy of a deep learning-based three-dime...
BACKGROUND: Degenerative cervical myelopathy (DCM), the predominant cause of spinal cord dysfunction...
INTRODUCTION: The non-perfused volume divided by total fibroid load (NPV/TFL) is a predictive outcom...
Bone age determination in individuals is important for the diagnosis and treatment of growing childr...
Ovarian cancer is among the most common gynecological cancers and the eighth leading cause of cancer...
In hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward ...
OBJECTIVE: Infertility remains a significant global burden over the years. Reproductive surgery is a...
Cell-penetrating peptides (CPPs) with better biomolecule delivery properties will expand their clini...
BACKGROUND: Cervical cancer is the fourth most frequent cancer among women, with 90% of cervical can...
Early and accurate detection of cervical lymph nodes is essential for the optimal management and sta...
BACKGROUND: Primary cervical cancer screening and treating precancerous lesions are effective ways t...
The total fertility rate is influenced over an extended period of time by shifts in population socio...
BACKGROUND: Uterine Corpus Endometrial Carcinoma (UCEC) stands as one of the prevalent malignancies ...
PURPOSE: This study aimed to develop and validate accessible artificial neural network and decision ...
For decades, drug delivery scientists have been performing trial-and-error experimentation to manual...
Cationic polymers offer an alternative to viral vectors in nucleic acid delivery. However, the devel...
Comprehensive biomedical proteomic datasets are accumulating exponentially, warranting robust analyt...
INTRODUCTION: Determining the right time for orthodontic treatment is one of the most important fact...
Polycystic Ovary Syndrome (PCOS) is one of the most widespread endocrine and metabolic disorders aff...
OBJECTIVE: This study aims to construct and evaluate a model to predict spontaneous vaginal delivery...
PURPOSE: The positional accuracy of MLC is an important element in establishing the exact dosimetry ...