Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images.

Hepatic cystic echinococcosis (HCE), a life-threatening liver disease, has 5 subtypes, i.e., single-...

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...

Artificial Intelligence and Machine Learning in Preeclampsia.

Preeclampsia is a multisystem hypertensive disorder that manifests itself after 20 weeks of pregnanc...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

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...

Attention-Guided Learning With Feature Reconstruction for Skin Lesion Diagnosis Using Clinical and Ultrasound Images.

Skin lesion is one of the most common diseases, and most categories are highly similar in morphology...

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...

Ultrasound Report Generation With Cross-Modality Feature Alignment via Unsupervised Guidance.

Automatic report generation has arisen as a significant research area in computer-aided diagnosis, a...

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...

Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation.

Manual annotation of ultrasound images relies on expert knowledge and requires significant time and ...

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...

Leveraging domain knowledge for synthetic ultrasound image generation: a novel approach to rare disease AI detection.

PURPOSE: This study explores the use of deep generative models to create synthetic ultrasound images...

Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound imag...

Role of Artificial Intelligence for Endoscopic Ultrasound.

Endoscopic ultrasound (EUS) is widely used for the diagnosis of biliopancreatic and gastrointestinal...

Overfit detection method for deep neural networks trained to beamform ultrasound images.

Deep neural networks (DNNs) have remarkable potential to reconstruct ultrasound images. However, thi...

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...

Recent Advances and Future Directions in Sonodynamic Therapy for Cancer Treatment.

Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...

Latent representation learning for classification of the Doppler ultrasound images.

The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnanc...

StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...

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