Obstetrics & Gynecology

Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.

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Showing 22-42 of 2,417 articles
Advances, reception and potential of ChatGPT as a tool for healthcare delivery and research: a systematic review.

ChatGPT gained widespread attention for its capabilities in natural language processing, enabling ma...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

Rapid vessel segmentation and reconstruction of head and neck angiograms from MR vessel wall images.

Three-dimensional magnetic resonance vessel wall imaging (3D MR-VWI) is critical for characterizing ...

Employer liability in work accident: A machine learning application from the health and safety at work perspective in Colombia.

BackgroundWork accidents have been studied from the perspective of outcome indicators, quantifying t...

A Multi-Modal Pelvic MRI Dataset for Deep Learning-Based Pelvic Organ Segmentation in Endometriosis.

Endometriosis affects approximately 190 million females of reproductive age worldwide. Magnetic Reso...

Handheld Point-of-Care Ultrasonography for Gynecology: Insights Into Space Travel Through Parabolic Flight.

BACKGROUND: Imaging plays a critical role in evaluating gynecologic emergencies. However, access to ...

Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.

Nursing care activities are essential to healthcare delivery, directly impacting patient safety, rec...

Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.

The study investigates the correlation between CD3 T-cell expression levels and cervical cancer (CC)...

Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study.

BACKGROUND: Racially minoritized populations in the United States (US), notably African American (AA...

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...

To create an algorithm assessing the risk of ovarian cancer in primary care using Generalized Additive Model (GAM) and traditional methods.

OBJECTIVES: We aimed to evaluate models designed to support the exploration and early detection of p...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP.

Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more errat...

Exploring factors influencing entry into the gig economy: A study of Chinese workers.

This study explores the factors influencing the choices of Chinese workers to enter the gig economy ...

Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.

This study systematically develops and evaluates the application value of the PCOS-GPT system, an ar...

Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare.

Artificial intelligence (AI)-based technologies are increasingly being utilized, tested, and integra...

Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning.

BACKGROUND: The age-related decline of fertility is caused by a reduction of the ovarian reserve, wh...

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