Obstetrics & Gynecology

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

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Showing 43-63 of 2,417 articles
The application of super-resolution ultrasound radiomics models in predicting the failure of conservative treatment for ectopic pregnancy.

BACKGROUND: Conservative treatment remains a viable option for selected patients with ectopic pregna...

Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein...

Association of artificial intelligence-predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows.

Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing ...

Screening for endometriosis: A scoping review of screening measures that could support early diagnosis.

BACKGROUND: Endometriosis is prevalent in approximately 6-10% of all women of reproductive age and i...

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA.

BACKGROUND: The quality and accessibility of menstrual health education (MHE) in low- and middle-inc...

Liquid Biopsy-Based Smart Sensors for Ovarian Cancer Detection.

Ovarian cancer is one of the most aggressive gynecologic malignancies, with a vast majority of patie...

An efficient deep learning based approach for automated identification of cervical vertebrae fracture as a clinical support aid.

Cervical vertebrae fractures pose a significant risk to a patient's health. The accurate diagnosis a...

Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging.

Placental segmentation is critical for the quantitative analysis of prenatal imaging applications. H...

Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.

Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains...

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

This study aimed to predict the likelihood of natural conception among couples by using a machine le...

Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-incl...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating ...

Exploration and validation of the prognostic value of mitophagy and mitochondrial dynamics-related genes in cervical cancer.

The mechanisms underlying mitophagy and mitochondrial dynamics (MD) in cervical cancer (CC), a disea...

A formulation dataset of poly(lactide-co-glycolide) nanoparticles for small molecule delivery.

Poly(lactide-co-glycolide) (PLGA) nanoparticles are promising drug delivery systems, widely recogniz...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diag...

Leveraging machine learning models to evaluate immune infiltration in the ovarian cancer microenvironment: a single-cell analysis approach.

BACKGROUND: The prognosis of ovarian cancer is closely related to the degree of immune cell infiltra...

Transfer Learning With Adam Gold Rush Optimization for Endometrial Disease Classification Using Histopathological Image.

Uterine cancer also referred to as endometrial cancer, which significantly impacts the female reprod...

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