Obstetrics & Gynecology

Knowledge Gaps in Generating Cell-Based Drug Delivery Systems and a Possible Meeting with Artificial Intelligence.

Cell-based drug delivery systems are new strategies in targeted delivery in which cells or cell-memb...

Editorial for "Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study".

Magnetically actuated hydrogel-based capsule microrobots for intravascular targeted drug delivery.

Microrobots for targeted drug delivery in blood vessels have attracted increasing interest from rese...

Survival outcomes of abdominal radical hysterectomy, laparoscopic radical hysterectomy, robot-assisted radical hysterectomy and vaginal radical hysterectomy approaches for early-stage cervical cancer: a retrospective study.

BACKGROUND: This study compared the survival outcomes of abdominal radical hysterectomy (ARH) (N = 3...

The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review.

BACKGROUND: Artificial intelligence (AI) is a broad outlet of computer science aimed at constructing...

Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study.

BACKGROUND: Deep stromal invasion (DSI) is one of the predominant risk factors that determined the t...

Protective Effect of Baclofen on Ovarian Cystogenesis and Morphine-Induced Lipid Profile Change in Female Rats.

INTRODUCTION: Morphine induces ovarian cysts that cause obesity and disrupt sex hormone secretion. B...

Detrimental Effects of Saccharum officinarum Juice on Reproductive Functions of Female Wistar Rats.

Changing dietary compositions have contributed to the growing epidemic of metabolic diseases with se...

Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research.

BACKGROUND: Contraceptive choice is central to reproductive autonomy. The internet, including social...

Identification of milling status based on vibration signals using artificial intelligence in robot-assisted cervical laminectomy.

BACKGROUND: With advances in science and technology, the application of artificial intelligence in m...

Simulator, machine learning, and artificial intelligence: Time has come to assist prenatal ultrasound diagnosis.

In this Commentary authors investigated and extended the role of simulator in assisting obstetric so...

A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index.

Even if assessing binary classifications is a common task in scientific research, no consensus on a ...

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

INTRODUCTION: Guidelines advise ongoing follow-up of patients after hypertensive disorders of pregna...

Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study.

RATIONALE AND OBJECTIVES: Accurate prediction neoadjuvant chemotherapy (NACT) response in ovarian ca...

Application of the da Vinci robot in gynecologic malignancies: A bibliometric analysis (2005 - 2023).

Phytochemical Screening, HPTLC Fingerprinting and Evaluation of In Vitro Cytotoxic Activity of Stem Bark Extracts of O (L.) Vent. Against Human Cervical Cancer Cells.

a well-known traditional medicinal plant which is used to alleviate various kinds of diseases in As...

Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer.

Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being lever...

Effect of Deep Learning Reconstruction on Evaluating Cervical Spinal Canal Stenosis With Computed Tomography.

OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal steno...

A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically ...

Caffeinated non-alcoholic beverages on the postpartum mental health related to the COVID-19 pandemic by a cross-sectional study in Argentina.

PURPOSE: This work aimed to study postpartum mental outcomes and determinants of the intake of caffe...

Measurement of interspinous motion in dynamic cervical radiographs using a deep learning-based segmentation model.

OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion...