Obstetrics & Gynecology

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

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CPPCGM: A Highly Efficient Sequence-Based Tool for Simultaneously Identifying and Generating Cell-Penetrating Peptides.

Cell-penetrating peptides (CPPs) are usually short oligopeptides with 5-30 amino acid residues. CPPs...

Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer.

OBJECTIVE: This study aims to investigate the influencing factors of pregnancy outcomes during in vi...

Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study.

BACKGROUND: Low birth weight (LBW) is a critical factor linked to neonatal morbidity and mortality. ...

Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol.

INTRODUCTION: Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain u...

Identification of prognostic subtypes and the role of FXYD6 in ovarian cancer through multi-omics clustering.

BACKGROUND: Ovarian cancer (OC), as a malignant tumor that seriously endangers the lives and health ...

Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study.

OBJECTIVE: Asherman's syndrome (AS) is a significant cause of subfertility in women from developing ...

ECP-GAN: Generating Endometrial Cancer Pathology Images and Segmentation Labels via Two-Stage Generative Adversarial Networks.

BACKGROUND: Endometrial cancer is one of the most common tumors of the female reproductive system an...

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...

Defining lipedema's molecular hallmarks by multi-omics approach for disease prediction in women.

Lipedema is a chronic disease in females characterized by pathologic subcutaneous adipose tissue exp...

Automated chick gender determination using optical coherence tomography and deep learning.

Chick gender classification is crucial for optimizing poultry production, yet traditional methods su...

Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications.

This study investigates utilization of machine learning for the regression task of predicting the si...

AI-driven innovations in smart multifunctional nanocarriers for drug and gene delivery: A mini-review.

The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of sm...

Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures.

BACKGROUND: Prior studies have elucidated that alterations in gut microbiota are associated with a s...

The Role of Claude 3.5 Sonet and ChatGPT-4 in Posterior Cervical Fusion Patient Guidance.

BACKGROUND: This study evaluates the role of ChatGPT-4 and Claude 3.5 Sonet in postoperative managem...

Nano biosensor unlocks tumor derived immune signals for the early detection of ovarian cancer.

Ovarian cancer is a critical health issue for women nowadays. Its impact is significant because of i...

Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.

BACKGROUND: Metabolic-bariatric surgery (MBS) is the last effective way to lose weight whom around h...

Equitable machine learning counteracts ancestral bias in precision medicine.

Gold standard genomic datasets severely under-represent non-European populations, leading to inequit...

Rapid Blood Clot Removal via Remote Delamination and Magnetization of Clot Debris.

Micro/nano-scale robotic devices are emerging as a cutting-edge approach for precision intravascular...

Effectors and predictors of conceptus survival in cattle: What is next?

In cattle, the physiological process of switching from cycling to pregnant is complex. Ultimately, t...

The Application of Machine Learning Models to Predict Stillbirths.

: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clini...

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