Obstetrics & Gynecology

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

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Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks.

Single-cell image analysis is crucial for studying drug effects on cellular morphology and phenotypi...

Artificial Intelligence in CT for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer Patients: A Meta-analysis.

PURPOSE: This meta-analysis aims to evaluate the diagnostic performance of CT-based artificial intel...

A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnorm...

Identification of crucial genes for polycystic ovary syndrome and atherosclerosis through comprehensive bioinformatics analysis and machine learning.

OBJECTIVE: To identify potential biomarkers in patients with polycystic ovary syndrome (PCOS) and at...

Generalizable deep neural networks for image quality classification of cervical images.

Successful translation of artificial intelligence (AI) models into clinical practice, across clinica...

Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method.

The outward appearance of human tongue can reflect changes in blood circulation caused by pathologic...

The Role of Artificial Intelligence in Gynecologic Oncology Decision-Making: A Feasibility Study.

OBJECTIVES: The objective of this study was to examine the potential of artificial intelligence (AI)...

Identification of a novel hypermethylation marker, ZSCAN18, and construction of a diagnostic model in cervical cancer.

PURPOSE: Cervical cancer (CC), a common female malignancy, has been linked to alterations in DNA met...

Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer.

Mathematical modelling has proven to be a valuable tool in predicting the delivery and efficacy of m...

Utilizing machine learning for predicting drug release from polymeric drug delivery systems.

Polymeric drug delivery systems (PDDS) play a crucial role in controlled drug release, providing imp...

Cooperative Magnetic Interfacial Microrobot Couple for Versatile Non-Contact Biomedical Applications.

Magnetic interfacial microrobots are increasingly recognized as a promising approach for potential b...

Hybrid Greylag Goose deep learning with layered sparse network for women nutrition recommendation during menstrual cycle.

A complex biological process involves physical changes and hormonal fluctuation in the menstrual cyc...

Sub-1-min relaxation-enhanced non-contrast non-triggered cervical MRA using compressed SENSE with deep learning reconstruction in healthy volunteers.

BACKGROUND: We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic...

A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression.

BACKGROUND: Effective management of patients with borderline ovarian tumor (BOT) requires the timely...

Predicting preterm birth using machine learning methods.

Preterm birth is a significant public health concern, given its correlation with neonatal mortality ...

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring.

Prolonged use of digital devices and sedentary lifestyles have led to an increase in the prevalence ...

Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women.

Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women worldwide; ho...

Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques.

BACKGROUND: Ankle injuries in parcel delivery workers (PDWs) are most often caused by trips. Ankle s...

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