Obstetrics & Gynecology

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

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Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of repro...

A novel non-invasive murine model for rapidly testing drug activity via inhalation administration against .

The efficacy of many compounds against is often limited when administered via conventional oral or ...

The association between Vitamin D deficiency and clinical pregnancy rate in IVF patients with different age.

BACKGROUND: The aim of the present study was to investigate the impact of serum VD status on IVF out...

International multicenter validation of AI-driven ultrasound detection of ovarian cancer.

Ovarian lesions are common and often incidentally detected. A critical shortage of expert ultrasound...

Deep Learning for the Accurate Prediction of Triggered Drug Delivery.

The need to mitigate the adverse effects of chemotherapy has driven the exploration of innovative dr...

Iodine Density of Lymphoma, Metastatic SCCA, and Normal Cervical lymph nodes: A Comparative Analysis Based on DLSCT.

OBJECTIVE: To compare iodine density (ID) and contrast-enhanced attenuation value (CEAV) from dual-l...

Vitamin D deficiency among pregnant women in India.

Vitamin D is a fat-soluble vitamin involved in the regulation of calcium homeostasis and thus is ess...

Automatic ovarian follicle detection using object detection models.

Ovaries are of paramount importance in reproduction as they produce female gametes through a complex...

Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders.

Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinatio...

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of c...

Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery.

Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines...

Empowering the Sports Scientist with Artificial Intelligence in Training, Performance, and Health Management.

Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented ...

BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.

In the past several years, a few cervical Pap smear datasets have been published for use in clinical...

A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer.

Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in...

Development and external validation of a multi-task feature fusion network for CTV segmentation in cervical cancer radiotherapy.

BACKGROUND AND PURPOSE: Accurate segmentation of the clinical target volume (CTV) is essential to de...

Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatments.

In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technolo...

Breaking Through Physiological Barriers: Nanorobotic Strategies for Active Drug Delivery.

Self-propelled micro/nanomotors (MNMs) represent a groundbreaking advancement in precision drug deli...

Descriptive overview of AI applications in x-ray imaging and radiotherapy.

Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...

Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides.

PURPOSE: Ovarian cancer patients with a Homologous Recombination Deficiency (HRD) often benefit from...

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