Obstetrics & Gynecology

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

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Showing 2626-2646 of 3,074 articles
Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on ...

Apr 2025 40193647
Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery

LLMs increasingly serve as tools for knowledge acquisition, yet users cannot effectively specify h...

Using machine learning models to identify severe subjective cognitive decline and related factors in nurses during the menopause transition: a pilot study.

OBJECTIVE: This study aims to develop and validate a machine learning model for identifying individu...

Apr 2025 39808112
Artificial Intelligence Scribes Shape Health Care Delivery.

Although most physicians are interested in the use of augmented or artificial intelligence (AI) in h...

Apr 2025 40238969
Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...

Apr 2025 40167432
Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology

Effective physician-patient communications in pre-diagnostic environments, and most specifically i...

Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes

Menstrual health is a critical yet often overlooked aspect of women's healthcare. Despite its clin...

The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes

The growing worldwide incidence of diabetes requires more effective approaches for managing blood ...

Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology.

This study aims to create a deep learning-based classification model for cervical cancer biopsy befo...

Mar 2025 40051384
Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation

Data scarcity is a long-standing challenge in the Vision-Language Navigation (VLN) field, which ex...

Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks

Accurate segmentation of ultrasound (US) images of the cervical muscles is crucial for precision h...

Food Delivery Time Prediction in Indian Cities Using Machine Learning Models

Accurate prediction of food delivery times significantly impacts customer satisfaction, operationa...

Invisible Labor: The Backbone of Open Source Software

Invisible labor is an intrinsic part of the modern workplace, and includes labor that is undervalu...

AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI

Background: Accurate spinal structure measurement is crucial for assessing spine health and diagno...

[Diagnostic performance evaluation of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination].

To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in ce...

Mar 2025 40113403
LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening

The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide...

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis

Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic ...

Data-Efficient Learning from Human Interventions for Mobile Robots

Mobile robots are essential in applications such as autonomous delivery and hospitality services. ...

Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-staine...

Mar 2025 39724530
Artificial intelligence-driven analysis of embryo morphokinetics in singleton, twin, and triplet pregnancies.

In recent years, the transfer of more than one embryo has become less frequent to diminish multiple ...

Mar 2025 39792920
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