Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is a broad outlet of computer science aimed at constructing machines capable of simulating and performing tasks usually done by human beings. The aim of this scoping review is to map existing evidence on the use of AI in the delivery of medical care.
BACKGROUND: Deep stromal invasion (DSI) is one of the predominant risk factors that determined the types of radical hysterectomy (RH). Thus, the accurate assessment of DSI in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC) can facilitate optimal therapy decision.
INTRODUCTION: Morphine induces ovarian cysts that cause obesity and disrupt sex hormone secretion. Baclofen, a gamma-aminobutyric acid receptor agonis...
BACKGROUND: Contraceptive choice is central to reproductive autonomy. The internet, including social networking sites like Reddit, is an important res...
Changing dietary compositions have contributed to the growing epidemic of metabolic diseases with serious impacts on several aspects of health, includ...
BACKGROUND: With advances in science and technology, the application of artificial intelligence in medicine has significantly progressed. The purpose ...
In this Commentary authors investigated and extended the role of simulator in assisting obstetric sonographers in training program. The interconnectio...
Even if assessing binary classifications is a common task in scientific research, no consensus on a single statistic summarizing the confusion matrix ...
INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregnancy (HDP) to assess cardiovascular risk and manage...
RATIONALE AND OBJECTIVES: Accurate prediction neoadjuvant chemotherapy (NACT) response in ovarian cancer (OC) is essential for personalized medicine. ...
a well-known traditional medicinal plant which is used to alleviate various kinds of diseases in Asia. The study aimed to identify bioactive compound...
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopatho...
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced R...
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal stenosis; however, some patients are ineligible for MRI...
OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and...
PURPOSE: This work aimed to study postpartum mental outcomes and determinants of the intake of caffeinated beverages during the pandemic in women from...
BACKGROUND: The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for endometriosis in 2022 opened up new perspectives for early an...
The fast growth in the installation of industrial robots has had a major impact on the comparative advantage of nations and the division of labor in g...
INTRODUCTION: Robotic-assisted surgery in select patients has been shown to result in less peri-operative morbidity. Few studies have explored the ass...