Obstetrics & Gynecology

Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?

BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in distinguishing between preterm and term labor.

Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time through automation, but the impact of the wide range of hyperparameters to be set during training on model accuracy has not been exhaustively investigated...

Automated stereological image analysis approach of the human placenta: Surface areas and vascularization.

Detecting and quantifying surface densities of placental villi and their vasculature adds important information on the development of the placenta und...

ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study.

Mental health, especially stress, plays a crucial role in the quality of life. During different phases (luteal and follicular phases) of the menstrual...

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery.

The foreign body response impedes the function and longevity of implantable drug delivery devices. As a dense fibrotic capsule forms, integration of t...

Robotic self-modulation enhances implantable long-acting drug delivery devices.

Integrating fibrotic capsule sensing with soft robotics may boost long-term performance of implantable drug delivery devices.

Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer.

RATIONALE AND OBJECTIVES: To develop and validate a T2-weighted magnetic resonance imaging (MRI)-based deep learning radiomics nomogram (DLRN) to diff...

Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.

We developed a deep learning framework to accurately predict the lymph node status of patients with cervical cancer based on hematoxylin and eosin-sta...

Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy?

INTRODUCTION: We aimed to develop a diagnostic deep learning model using contrast-enhanced CT images and to investigate whether cervical lymphadenopat...

Africa's readiness for artificial intelligence in clinical radiotherapy delivery: Medical physicists to lead the way.

BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Intelligence (AI) technology due to its promising role...

Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images.

BRCA1 and BRCA2 genes play a crucial role in repairing DNA double-strand breaks through homologous recombination. Their mutations represent a signific...

The psc-CVM assessment system: A three-stage type system for CVM assessment based on deep learning.

BACKGROUND: Many scholars have proven cervical vertebral maturation (CVM) method can predict the growth and development and assist in choosing the bes...

Robotic Surgery in Urology: History from PROBOT to HUGO.

The advent of robotic surgical systems had a significant impact on every surgical area, especially urology, gynecology, and general and cardiac surger...

Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.

BACKGROUND: Lymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed with cervical cancer, as it is closely linked to ...

Fetal MRI: what's new? A short review.

Fetal magnetic resonance imaging (fetal MRI) is usually performed as a second-level examination following routine ultrasound examination, generally ex...

Near-infrared and hysteroscopy-guided robotic excision of uterine isthmocele with laser fiber: a novel high-precision technique.

OBJECTIVE: To describe a novel high-precision technique for robotic excision of uterine isthmocele, employing a carbon dioxide laser fiber, under hyst...

Comparison of quality of life after robotic-transvaginal natural orifice transluminal endoscopic surgery and robot-assisted laparoscopic hysterectomy.

OBJECTIVES: We investigated quality of life (QOL) of patients who underwent total hysterectomy for benign uterine diseases using two surgical approach...

Diffusion-Limited Processes in Hydrogels with Chosen Applications from Drug Delivery to Electronic Components.

Diffusion is one of the key nature processes which plays an important role in respiration, digestion, and nutrient transport in cells. In this regard,...

Robotic docking time with the Hugo™ RAS system in gynecologic surgery: a procedure independent learning curve using the cumulative summation analysis (CUSUM).

Robot-assisted surgery has been proven to offer improvements in term of surgical learning curve and feasibility of minimally invasive surgery, but has...

Robot-assisted Laparoscopic Excision of Abdominal Wall Endometrioma Utilizing Intraoperative Ultrasound and Transabdominal Needle Placement.

OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incidence of 11% and a rare subset of extra pelvic lesio...