Obstetrics & Gynecology

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many...

Autonomous Magnetic Microrobots by Navigating Gates for Multiple Biomolecules Delivery.

The precise delivery of biofunctionalized matters is of great interest from the fundamental and appl...

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Prenatal screening generates a great amount of data that is used for predicting risk of various diso...

A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.

OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sono...

Artificial intelligence weights the importance of factors predicting complete cytoreduction at secondary cytoreductive surgery for recurrent ovarian cancer.

OBJECTIVE: Accumulating evidence support that complete cytoreduction (CC) at the time of secondary c...

Mining the literature for genes associated with placenta-mediated maternal diseases.

Automated literature analysis could significantly speed up understanding of the role of the placenta...

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

The clinical, granular data in electronic health record (EHR) systems provide opportunities to impro...

pH-Sensitive Micelles Based on Star Copolymer Ad-(PCL-b-PDEAEMA-b-PPEGMA)₄ for Controlled Drug Delivery.

Enhancing drug loading efficacy and stability of polymeric micelles remains a grand challenge. Here ...

Bone mineral density in midlife long-term users of hormonal contraception in South Africa: relationship with obesity and menopausal status.

BACKGROUND: In South Africa, hormonal contraception is widely used in women over the age of 40 years...

A machine learning approach to the accurate prediction of monitor units for a compact proton machine.

PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor u...

Back to the future - The integration of big data with machine learning is re-establishing the importance of predictive correlations in ovarian cancer diagnostics and therapeutics.

Pilot study of Society of European Robotic Gynecological Surgery (SERGS) curriculum for robot-assisted surgery.

Engineering Polyzwitterion and Polydopamine Decorated Doxorubicin-Loaded Mesoporous Silica Nanoparticles as a pH-Sensitive Drug Delivery.

Multifunctional drug carriers have great applications in biomedical field. In this study, we introdu...

Case Control Study to Compare Serum Vascular Endothelial Growth Factor (VEGF) Level in Women with Recurrent Pregnancy Loss (RPL) Compared to Women with Term Pregnancy.

INTRODUCTION: Recurrent pregnancy loss (RPL) is defined as three or more spontaneous pregnancy losse...

A Capsule-Type Microrobot with Pick-and-Drop Motion for Targeted Drug and Cell Delivery.

A capsule-type microrobot exhibits "pick-and-drop" (P&D) motion to hold a particle within a confined...

Robotic versus laparoscopic radical hysterectomy in early cervical cancer: A case matched control study.

BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results ...

Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.

This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the col...

Robot-assisted upper extremity rehabilitation for cervical spinal cord injuries: a systematic scoping review.

UNLABELLED: Abstact Purpose: To provide an overview of the feasibility and outcomes of robotic-assis...

Fully automatic cervical vertebrae segmentation framework for X-ray images.

The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately,...

Molar pregnancy in cesarean section scar: A case report.

Cesarean scar ectopic pregnancies and molar pregnancies are two very rare obstetric pathologies. In ...

Prognostic values of the integrated model incorporating the volume of metastatic regional cervical lymph node and pretreatment serum Epstein-Barr virus DNA copy number in predicting distant metastasis in patients with N1 nasopharyngeal carcinoma.

BACKGROUND: According to the 7th edition of the American Joint Committee on Cancer (AJCC) staging sy...