Obstetrics & Gynecology

Robot-assisted cervical esophagectomy: first clinical experiences and review of the literature.

Pulmonary complications, and especially pneumonia, remain one of the most common complications after esophagectomy for esophageal cancer. These complications are reduced by minimally invasive techniques or by avoiding thoracic access through a transhiatal approach. However, a transhiatal approach does not allow for a full mediastinal lymphadenectomy. A transcervical mediastinal esophagectomy avoid...

Volatile constituents and in vitro activity of Syzygium aromaticum flower buds (clove) against human cancer cell lines.

The methanolic extract (SA-EXT) of Syzygium aromaticum flower buds and its fractions tested against three human cancer cell lines viz uterine cervix (HeLa), breast (MCF-7) and lung NCI (H-460) using sulforhodamine-B assay. The ethyl acetate soluble sub fraction (SA-EAS) was active only against HeLa cells with GIvalue of 36± 3.4μg/mL. The most active sub-fraction (SA-PES-Fr-2) showed growth inhibit...

[Effects of mild moxibustion on Beclin-1/Bcl-2 expression in spinal cord of rats with cervical spondylotic radiculopathy].

OBJECTIVE: To observe the effects of mild moxibustion on the expression of autophagy and apoptosis factors Beclin-1, Bcl-2 mRNA and protein in spinal ...

[Automated Pre-delineation of CTV in Patients with Cervical Cancer Using Dense V-Net].

We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical canc...

Development and validation of a machine-learning model for prediction of shoulder dystocia.

OBJECTIVES: To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accur...

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI i...

Knowledge-Based Planning for Intact Cervical Cancer.

Cervical cancer radiotherapy is often complicated by significant variability in the quality and consistency of treatment plans. Knowledge-based planni...

Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.

Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This i...

[Successful Robotic Resection of Left Upper Mediastinal Tumor].

A man was diagnosed with a left upper mediastinal mass. The mass was located near the left subclavian vein, phrenic nerve, vagus nerve, left subclavia...

A three-dimensional discriminant analysis approach for hyperspectral images.

Raman hyperspectral imaging is a powerful technique that provides both chemical and spatial information of a sample matrix being studied. The generate...

Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction.

Quantification of ovarian and follicular volume and follicle count are performed in clinical practice for diagnosis and management in assisted reprodu...

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ chan...

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applications at hard-to-access regions inside the human bod...

Management of ovarian cancer patients in affected areas during COVID-19 pandemic: Japan and Korea.

[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence].

Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term f...

Re: An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors,...

Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program for cervical cancer, including a Convolution Neural...

Diagnostic accuracy of single-source dual-energy computed tomography and ultrasonography for detection of lateral cervical lymph node metastases of papillary thyroid carcinoma.

BACKGROUND: Dual-energy computed tomography (DECT) imaging can generate iodine-based material decomposition (MD) images and spectral HU curve. This st...

[Digestive Surgery Intervention for Gynecological Malignant Tumor].

AIM: This study aimed to determine surgical outcomes in patients with gynecological cancers for whom surgery was performed by gynecologists and digest...