Obstetrics & Gynecology

First experience with the Hugo™ robot-assisted surgery system for endometriosis: A descriptive study.

INTRODUCTION: The Medtronic Hugo™ Robot-assisted Surgery (RAS) system was recently approved for clin...

Application technology for bioherbicides: challenges and opportunities with dry inoculum and liquid spray formulations.

Bioherbicides offer many potential benefits as part of an integrated weed management system or a tot...

Identifying Explainable Machine Learning Models and a Novel SFRP2 Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer.

Ovarian cancer (OC) is a type of malignant tumor with a consistently high mortality rate. The diagno...

Editorial for "A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI".

Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.

PURPOSES: To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical s...

Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation.

Fetoscopic Laser Coagulation (FLC) for Twin to Twin Transfusion Syndrome is a challenging interventi...

Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines.

Cervical cancer is one of the most common malignant tumors among female gynecological diseases. This...

What is the impact of intraperitoneal surfactant administration against postoperative intraabdominal adhesion formation? an experimental study.

BACKGROUND/AIM: Surfactant is a surface-active substance that, in addition to its detergent effect, ...

Biosynthesis of Quercetin-Loaded Melanin Nanoparticles for Improved Antioxidant Activity, Photothermal Antimicrobial, and NIR/pH Dual-Responsive Drug Release.

Quercetin (QCT) is a promising dose-dependent nutraceutical that usually suffers from poor water sol...

AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation.

Given the shortage of cytologists, women in low-resource regions had inequitable access to cervical ...

Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.

PURPOSE: To establish and validate a deep learning radiomics nomogram (DLRN) based on intratumoral a...

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers.

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the greatest t...

Oncologic outcomes of robot-assisted laparoscopy versus conventional laparoscopy for the treatment of apparent early-stage endometrioid adenocarcinoma of the uterus.

OBJECTIVE: To compare long-term oncologic outcomes in patients with clinically uterine-confined endo...

Efficacy of an automated technology at detecting early postpartum estrus events: Can we detect resumption of cyclicity?

The objective of this observational study was to evaluate the efficacy of a neck-mounted automated a...

Assessment of systemic inflammation following oral calcium supplementation in healthy postpartum multiparous dairy cows-A randomized controlled trial.

Around parturition, dairy cows inevitably and perhaps necessarily experience some degree of systemic...

Applications of Artificial Intelligence in Health Care Delivery.

Health care costs now comprise nearly one-fifth of the United States' gross domestic product, with t...

Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology.

Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has capt...

Aided diagnosis of cervical spondylotic myelopathy using deep learning methods based on electroencephalography.

Cervical spondylotic myelopathy (CSM) is the most severe type of cervical spondylosis. It is challen...

Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.

BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...

Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.

Artificial intelligence (AI) is increasingly a part of our everyday lives. Though much AI work in he...

Folic acid: The key to a healthy pregnancy - A prospective study on fetomaternal outcome.

OBJECTIVES: The objective of the study is to study the fetomaternal outcome associated with folic ac...