Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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Showing 1114-1134 of 3,254 articles
Stepped-Tube Backside Cavity Piezoelectric Ultrasound Transducer Based on ScAIN Thin Films.

This paper presents a novel piezoelectric micromachined ultrasonic transducer (PMUT) with theoretica...

Microneedle-Assisted Transfersomes as a Transdermal Delivery System for Aspirin.

Transdermal drug delivery systems offer several advantages over conventional oral or hypodermic admi...

The Role of Pelvic Ultrasound in Evaluating the Success of Tension-free Vaginal Tape (TVT).

OBJECTIVES: This study aims to assess the lack of response to treatment in individuals undergoing mi...

The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions.

The rapid advancements in artificial intelligence (AI), including machine learning (ML), and deep le...

Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

INTRODUCTION: Stigma and bias related to race and other minoritized statuses may underlie disparitie...

The Influence of Airborne Particulate Matter on the Risk of Gestational Diabetes Mellitus: A Large Retrospective Study in Chongqing, China.

Emerging research findings suggest that airborne particulate matter might be a risk factor for gesta...

Ultrasound robotics for precision therapy.

In recent years, the application of microrobots in precision therapy has gained significant attentio...

A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...

Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network.

BACKGROUND AND OBJECTIVES: This study compares the clinical properties of original breast ultrasound...

Preterm Birth: Screening and Prediction.

Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significa...

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.

Digital health tools, platforms, and artificial intelligence- or machine learning-based clinical dec...

Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network.

PURPOSE: Carotid ultrasound allows noninvasive assessment of vascular anatomy and function with real...

A Deep Learning Model for Detecting Rhegmatogenous Retinal Detachment Using Ophthalmologic Ultrasound Images.

INTRODUCTION: Rhegmatogenous retinal detachment (RRD) is one of the most common fundus diseases. Man...

Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallblad...

Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems.

Adhesion is a critical quality attribute and performance characteristic for transdermal and topical ...

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